Introduction:

DSP is abbreviated as a digital signal processing algorithm that is used widely in microcomputers in hardware, software, and computer processing system. It is all about the processing of numeric values and increases the authenticity of computer applications in arithmetic and hardware programming. This is the modernized method of calculations, high order responses, and software modifications. It proves out to be very beneficial if implemented for channel timing. It proceeds all mathematical calculations efficiently step by step. Digital signals in this system proceed with numerical calculations. The process continues through the implementation of various digital signals in digital audio. For solving out the parameters of the algorithm and different mathematical complexities, DSP plays the most crucial role. Implementing it in different fields of science proves out to be highly beneficial. The system is composed of 105 different impedances. These impedances solve algorithm parameters effectively. (Maslennikow & Sergiyenko). The Hardware system is specifically designed for the implementation of the DSP algorithm. It proceeds with mathematical calculations efficiently with accurate and high speed problem solving methodologies. DSP flows with different input signals using various illustrations. Many essential elements flow together to run digital processing efficiently. All the functions proceed in an analog form, increasing the authenticity of various functional operations. There is a systematic chain that works to solve multiple problems. These changes start from the analog signal to the digital processor. A coprocessor is also designed along with it. This is how the DSP algorithm works. Implementing it into the channel timing offset plays a significant role. Besides, it works in versatile ranges by manipulating pieces of information that include sounds, images, and videos. While on the other hand, DFMA is a set of methodologies that works for the manufacturing and assembling of multiple designs. This strategy is limited to two procedures. It is the design and manufacture of computer products and the assembly of these products. This software increases the quality and enhances the working of the software. (Maslennikow & Sergiyenko). This network composes of different software and the implementation of this software in the optical access network. DPMA enhances the technical operations and market operations due to its various functions and efficient access network. This high speed software works efficiently, reducing the malfunctioning largely. The optical access network makes access to multiple networks easy and flexible. Also, this wiring system enhances internal operations. All the business tycoons implement this system at their places. This high transmission rate network increases the reach of access to different structures. The optical access network proceeds efficiently with many of the components. These components together work effectively. With the advancement of technology, many techniques help in the implementation of DSP into the DFMA based optical access network. Together this increases the effectiveness of the technological environment with dynamic bandwidth. This also works to increase the reach of the visual system while making other networks easily accessible. Implementation of DSP into DFMA will increase the capability of solving mathematical problems of different ranges effectively.

Research question:

The research question of the research is:

“Finding out the designs and implementation methods that will be highly beneficial for dealing with logical operations and mathematical problems. Also, the design method will be used to implement the DSP algorithm to the DFMA optical based access network.”

The research question is about the use of various designs that are implemented to introduce the DSP algorithm into the DFMA optical access network. DSP based algorithm performs many of the mathematical processes into the internal system. However, implementing it into DFMA will increase the telecommunication processes and high speed signals and transmission. It will be highly beneficial to increase the speed and efficiency of the internal system. This communication system is implemented in many of the technological settings. The introduction of wireless communication into the system is enhancing the information, and they assist in manipulating numerical data. Besides, this real time application software came up with many of the parameters as DSP works in multiple settings to solve a precise algorithm. The optical access network is used for the transfer of information from one communication platform to another, building a wireless access network. DSP proceeds with all the mathematical calculations by the input signals. It also accumulates many instructions in the internal system. These sets of instructions deal with solving the problems of sophisticated methodologies. This technique is of high precision and accuracy. It works on the policy of multiple accumulate directions.

The research is logically based and has was perspectives to deal with the implementation and design of digital signal processing into The Optical based access network following are the research questions that will be addressed in this research:

  1. The first question that will be discussed during this research is to find out the design and implementation that will be working to implement the digital processing system into the optical based access network. 
  2. The research will also be finding out the design of the DSP algorithm and different applications of digital system processing that will increase the efficiency of computer software.
  3. It will also be a blessing to different processes that are required to implement the Digital Signal Processing algorithm into the computer software. The research will also be finding out the benefits that will work together to increase the efficiency of computer processing and solving out different mathematical problems. 
  4. It will be implementing both the practical and theoretical approaches to the internal functioning of computer microprocessors.

 

Discussion:

The Digital signal processing algorithm works with the implementation of impulse response by doing different types of linear operators. DSP based algorithm into DFMA increase the opportunities of multiplexing, and it provides an ease to all the mathematical algorithm problems. This fundamental strategy plays a decisive role in increasing the accuracy and speed of optical networks. A combination of both these strategies requires the design and processing of multiple structures. Also, the digital filler multiple access increases the speed of the optical networks. This low cost software increases the efficiency and performance of optical fibers. Different real time optical techniques are required to implement this into the internal processing system of various technological departments. It also validates the internal processing while increasing the authenticity and factual based information of different mathematical algorithm based techniques. Many computer departments are implementing this system into the internal network to use digital signals to reduce complexities in various technological departments. These strategies are implemented in commercial based computer departments. It also increases the precision and accuracy while extending the analysis, performance, and feasibilities of eth microcomputers. (Maslennikow & Sergiyenko).

DFMA provides multiple access to many of the departments, and the optical system increases the efficiency of the wireless connections. These fundamental technologies into the computer departments play an active role in improving the authenticity and feasibilities of various technological and math’s related computers. Implementation of DSP requires a different set of techniques and technologies that play a decisive role in increasing the usefulness and enhanced wavelength of optical network access. A different set of experiments are implemented in the system to increase the efficiency and effectiveness of optical and drop multiplexer networks. It also proceeds with a detailed analysis of every functional operation that takes place in the internal settings. The visual based system implements DSP into the system to increase the efficiency of digital filler multiple access. Therefore, the implementation of DSP into the DFMA requires many technological techniques into the microprocessors of computers.

The rationale of the research

The rationale of the research includes very of the reasons and the theoretical approaches whose practical implementation of knowledge is necessary. Following are the reasoning of this research: 

  1. Implementing Digital Signal Processing into an optical based access network requires a lot of sophisticated methodologies, and the reason for achieving this is to increase the versatility of internal computer processing to sort out different Complex mathematical problems. 
  2. Another probable cause of implementing this into the computer software is to increase the precision and accuracy of mathematical problems to get solved. 
  3. Implementing Digital Signal Processing into an optical based network requires a lot of procedures and step by step complexities to implement. This Research Design will be discussed all the reasons that work to benefit these internal processing modifications.
  4. Searching out for the set of techniques and benefits that will be affecting the internal processing of computer microprocessors. It also works to figure out the benefits, designs, and applications.

 

Formulation of objectives:

Although DFMA based optical access network is a highly advanced system for balancing a channel timing, DSP implementation will be of great importance. DSP algorithm interferes with the internal system to enhance mathematical calculations, all of the algorithm based problems get solved dye to a different set of input signals. These input signals make sure that the complexities of mathematical problems get solved due to the interference of digital signal processing into hardware and software. This process gets introduced into the microprocessors and hardware and software of different personal computers. Embedding it into the DFMA optical network requires integrating many of the techniques and designs. The introduction of these techniques requires different experimental and fundamental techniques. Also, there is a proper process of implementing this into the internal system.

Following are the set of objectives that this technical procedure will be covering:

Design of DSP algorithm:

Implementation of a digital signal processing algorithm into DFMA requires many intricate designs. Different field programs are associated with it, and they play a significant role in the implementation of these gate arrays. DFMA plays a decisive role in increasing the speed of optical processing. Still, this system requires to move DFMA into more technical procedures, and this can only be done using different strategies. The implementation of these techniques requires many modifications and the introduction of enhanced technologies into the internal system. The application of DSP requires many different methods, but these techniques depend on the complexity of the order in which it is going to be implemented. Based on these complexities, different granularity procedures are selected to increase the efficiency and speed of the wireless optical based system. Diverse short programming and sophisticated programming techniques implement into the internal system along with the design of logical designs. Different logical blocks are used in the internals system of different microprocessors and computer systems. The gates are implemented in hardware, the software inside the computer. The implementation of these logical designs varies from less to more complex gates into the internal systems. Granularity ranges from subtle to large, and it depends on the complexity of different programmable devices. Implementing the DSP algorithm into DFMA plays a decisive role in increasing the programming ability of software and hardware. The entire process also requires the introduction of digital processors into the system. These digital signal processors enhance the performance of the software to perform mathematical complexities efficiently.

Process of implementation of digital signal processing algorithm:

The Digital signal processing algorithm requires a proper process of implementation, and it is highly programmable due to its advancement and modifications. One of its benefits includes that it does require any changes to be done in the hardware. The need is just to make modifications to the microprocessor of the computer and software. But of the DSP algorithm is a part of a simple personal computer or processor. It will not be that efficient. That’s why implementing it in DFMA will increase the processing of DSP. Many logical partners associate with this to improve its operational workings. Also, a proper path is required to get all these processes done. Digital signal processing includes logical gates and basic logic units to introduce it into the internal system. The need is to make some modifications to enter it into personal computers.

DFMA advanced optical processing sends signals efficiently as it is a wireless connection. But adding a DSP algorithm into it will be of excellent efficiency as this will be solving the mathematical approaches without any sort of wired connections. This also enhances the processing of solving mathematical problems without any barrier in authentic question solving. DFMA follows all the criteria or market feasibility and next generation access network. If DSP gets introduced in such a system, it will be highly beneficial. This will work to increase the capacity of the DFMA processing unit, and also it is a high speed network that will of higher authenticity and feasibility. Many of the sophisticated numerical simulations cannot be sorted out due to single microprocessors. Still, by making duo of both these, it will be working increasingly to increase the efficiency of the internal system. Many of the experimentations prove that DSP and DFM together form a next generation, authentic, and complex mathematical problems that can only be sorted out if the computer has this into the internal functioning system.

DFMA technologies are present in wide range bur optical access network is of high speed and high accuracy. Digital signal processing and DFMA together works efficiently to increase the speed and efficiency of sorting out the mathematical problems. Manufacturing technologies did significant advancement, so this will be focusing on the different sets of methods that will be used to interpret the reconfigurable digital functioning without any sort of error. But it requires proper design and implementation of various processors into the internal settings. The next generation multi users prefer this technology to introduce into the inner working genres of computer science. DFMA only demands high speed upstreaming, and this can highly efficient if DSP and DFMA get allocated correctly. (Maslennikow & Sergiyenko).

The main objective of the research is to cater to all the benefits procedures and applications that will be highly beneficial if both DSP and DFMA optical access network incorporates into each other. The design and the implementation method will be discussed in detail using this set of efficient mediums.

Methodology proposal

Introducing DSP a logarithm into a digital filler system processing optical based access network requires a lot of complexities, but it is highly efficient. Implementation of Digital Signal Processing into the DFMA, visual access network, requires very of the complex and Technical methodologies. Still, it disproves increases The authenticity and mathematical operations of any computer microprocessor. Many methods used to implement Digital Signal Processing into the DFMA optical based network, but the general purpose processor is one of the most commonly used ways to implement digital processing algorithm. (Maslennikow & Sergiyenko). This methodology requires the introduction of different logical Gates who can perform mathematical operations effectively by different Gates. These Gates play a decisive role, besides, subtraction multiplication division and other Complex rational functions. Also, these logical operators vary based on various operations.

Figure no 01: methodology of implementing a DSP algorithm

Every gate has its roll into the microprocessor of the computer system. These Gates have nothing to do with changing the hardware system, but it requires a sophisticated software methodology that proves out to be Highly Effective. So the method that will be used here to implement the digital processing algorithm is a general purpose processor. Public purpose processor place and efficient role, and it provides all the logical function operations methodologies. The general purpose processor is itself a sophisticated methodology and requires a proper step by step procedure to implement into the DFMA optical based access network. Introducing digital system processing into this type of system can be highly beneficial because it increases The authenticity and speed in between all the logical processor. This makes the internal processing of computers highly efficient, and data due to the optical access network becomes easy; it goes up with the flow. For the introduction of the digital processing system into the visually based access network, computer Architecture is required because it can handle the complexities that may come into the way of this methodology. This methodology involves the usage of different addons, multipliers, comparators, logical operators, and other resistors that can work efficiently to increase the communication between different parts. This entire process follows a step by step procedure, and this procedure deals with the complexities of communication parts between these networks. This methodology increases the efficiency and effectiveness of the internal computer programming system, and the wireless connection speeds up the communication system to solve different with mechanical complexities efficiently. It modifies the system in such a way that it operates by a different set of words that work as instructions to speed up the data communication process. A bridge was created between these systems, and this Bridge has a software base. Implementing this methodology into the computer processor has to do with the hardware system, but it operates its functions and implements all the designs into software. It is also an efficient technique that reduces the communication process and decreases the complexities of mathematical operations. Introduction of Digital Signal Processing into another system requires the knowledge and processing of all the systems and about how the function implements in specific situations. (Maslennikow & Sergiyenko).

As far as this case is concerned, it requires different software considerations at center steps that can function well to solve the specific problem. The methodology that can reduce the communication cost is concurrence this methodology is implemented in digital system processing, and it is a part of reducing the communication costs while increasing the speed and authenticity of the software functions. The entire process comes up with different hierarchies, and it is not a first head process. It requires a lot of complexities to deal with. Following are some of the hierarchical memories that are considered while implementing Digital Signal Processing into an optical based network:

  1. The first level of hierarchical memory that is used is the resistors and the accumulators that will be implemented in the internal computer processing system. 
  2. The next level of this methodology is to have a look at the cache memory that will be working on sorting out the mathematical problems and to hold those problems at its place. 
  3. Level 3 of this methodological process is primary memory. Primary memory is significant to consider because it holds all the information at a place. Also, this will be playing a vital role as a floating point processor.
  4. The next level that will be considered is secondary memory. Secondary memory plays a decisive role in holding all set off Complex pieces of information, and it is a part of Computer microprocessor and digital signal processing. 
  5. The last level of the hierarchical memory is disc drive, and it will work to reduce the communication cost while increasing the speed of the microprocessor. 

The next step of implementation is to handle all the input and output processes that will work to do the mathematical computations. This numerical computation will take place in a parallel way, and it requires all the practical information to process complex mathematical tasks. 

Core processors play a vital role in introducing digital signal processing into optical based network access. One of the most efficient Core processors that are used in the computer is a floating point processor. This process speeds up all of the complicated operations that are about to perform into the computer system. (Maslennikow & Sergiyenko).

Introducing the new bases while implementing Digital Signal Processing will be beneficial to increase the communication and The authenticity of mathematical operations it also enhances the conversation in a parallel way. Some of the additional bases include multiport memory and high speed local bus for CPU. These new bases will be incorporated into the internal communication system, and these have nothing to do with the hardware.

This is both the practical and theoretical approach to implementing digital system processing into the optical based access network. The practical approach includes the limitation of different logical Gates into the internal system. The logical Gates and general processor unit are the analytical tools that prove out to the highly suitable to implement Digital Signal Processing into DFMA optical based network. 

Primary and secondary resources: 

The research composed of both primary and secondary sources, and these resources works to increase the authentic information of the study. Structural support and secondary sources are somehow interlinked as their results are quite the same as each other. The primary resource is about the practical approach of implementing digital system processing into an optical based access network. This primary resource discusses all the factors that play a significant role in a step by step procedure of design and implementation. The practical approach focuses on all the steps that will be used to implement Digital Signal Processing into the optical network. This approach includes a step by step procedure of making modifications to the software, and it has nothing to do with the hardware. So in the first set of research, different methods are implemented into the internal computer microprocessor. This requires different computer architecture techniques to deal with the modifications that will work to introduce the system into an optical based network. The primary source is based on a practical approach of different computer Based architecture system. This primary source bright the view that implementation of Digital Signal Processing into the internal network is of great effort, and this highly helps how to solve the mathematical problems and complex algorithm equations. The primary research was based on all the levels, and that will contribute to increasing The authenticity and scope of this research. The first study also finds out that implementing Digital Signal Processing into the internal system is a great benefit and advantage, and it plays a useful role in solving out the complex algorithm problems.

Secondary resources:

Secondary sources include all the previous set of researches that play a decisive role in finding out the ways that will work to implement Digital Signal Processing into the DFMA optical based network. Previous investigations are based on different technical approaches and practical approaches that work efficiently to deal with the implementation and design process. One of the prior sets of studies was about AGC architecture and strategy. This strategy proves out to be the best one to make digital adjustments and to implement Digital Signal Processing into the internal system. It requires the introduction of different logical gates that increases the signal power. It is the most useful secondary source that is used in the research as it mentions all the theoretical and practical approaches that will work to implement the DSM into the optical based network system. This approach includes many of the theoretical reasoning and reasonable step by step procedure that will be to increase the practicality of implementing the digital system into the optical based network access. The research also finds the benefits that a computer microprocessor can have after applying the digital system into the DFMA optical based network access. This gain control strategy lines up all the processes and programs that will work for the implementation of digital signal processing. Is also presents an illustration of the implementation of a different set of procedures into the microprocessor components of the computer. The main focus of the secondary research is on in band ip3 and in band game. Both of these strategies are throughout to be an excellent gain control strategy, and they receive the power efficiently. But if this strategy is implemented into the optical based network access, it will function as increasing the chances of the simulated game, and it will increase the capacity of receiving power signals and high speed solving of mathematical problems. This system also reduces the power level, and it enhances the communication between the Digital Signal Processing and the external network that is used for the different data connections. Another secondary research was based on the experimentation that has an ADC and DAC into its internal system. (Ndinechi et al., 2010). This design has been used by many of the computer architectures as it increases the efficiency of different digital functioning while making sure that the power voltage remains the same. It also increases the frequency and ensures that all the operations in the internal and external interface proceed well. The primary method that is used in this procedure is the general purpose processor. This method is also used in the initial set of research, and it proves out to be very efficient for the introduction of logical Gates to solve out different logarithm based problems efficiently. This general purpose processor makes up the modifications with computer architecture and by the submission of varying Signal Processing applications such as the optical based network. Other than this is a general purpose processor deal with the logical operators and registers into the internal functioning of the computer microprocessor. It was along with many of the logical operators that make sure that the moment of data proceeds well from place to place. The combination of Digital Signal Processing and optical based network exercise proves out to be very beneficial for the computer microprocessor as it enhances the communication path, and it works with the core processors that increase the efficiency and performance of the logical operators. Other than this, it also increases the production of different functional units, and it makes up with the programmable resource of gate arrays such as instruction decode and the instruction fetch.

Validity and reliability issues:

Although the validity and reliability issues as a part of every research but the set of primary and the secondary sources that are used in this strategy are highly efficient without any sort of items present. Although we cannot make generalized the research methodology as it is limited to only a few Strategies and all the computer architectural designs are not used in it other than this, the primary research proceeds with only one method of finding out the design and implementation brothers and practicing two or three techniques. Limitations to only a few methodologies can increase the reliability and validity of the research. All the processes that are addressed to change the internal functioning of computer microprocessors are authentic and well researched—also, the set of research play and efficient to increase The authenticity and validity of the research. Different computer architectures use this system of analysis to implement it into computer software. Implementation of these Technologies into the computer processing system proves out to be highly essential, and they are vital factors that can increase the effectiveness and validity of different logical methods used.

Limitations of the research:

Although the research describes many of the metal methodologies still, the study cannot be generalized because it does not. It was all the possible methodologies and computer architecture technologies present. The analysis and Critical evaluation have been done only in a single piece of practical approach why in case of secondary research, almost three methods are discussed that used for the design and implementation of a digital signal processing algorithm. These strategies prove out to be efficient, but they cannot be generalized because every computer system has its technicalities to deal with. Different computer microprocessor has a different set of software and methodologies, and as a result, these work in different ways to increase the effectiveness of the research. (Ndinechi et al., 2010). All these research methodologies cannot be implemented in every internal computer microprocessing system, and they do not work well in all conditions. Every computer system has its technicalities and limitations that must be addressed while conducting any sort of research. Different sets of Strategies and procedures are implemented in different electronic computer processing systems. All these strategies work in different ways, and they have various logical operations and bases to deal with. This research methodology also does not address all of the logical operators and Programmable resources that prove out to be efficient for the computer microprocessors.

Case study essay:

Digital Signal Processing is one of the widely used techniques to deal with complicated mathematical and algorithm based operations. If combined with DFMA optical based network, it can increase the efficiency and speed of the wireless transactions. Other than this, it makes sure that all the mathematical operations proceed alphabetically, and the only way to give the computer processor with input is a binary method. Binary numbers are used to implement different logical procedures to provide the system with input deals with all of the complex mathematical problems providing them with an efficient solution.

Purpose of digital signal processing:

The purpose of digital signal processing is to sort out complex mathematical operations efficiently. The Digital signal processor proves out to be one of the most efficient techniques that work well to increase the effectiveness and high speed accuracy of different problem solving methods. Digital Signal Processing follows Different ways that interfere with the functioning of the software, and using this software methodology, the complex mathematical problems can we sort out by using different mathematical operations. The purpose of Digital Signal Processing is to increase the authenticity of various logical services, having the basis of math. Mathematical problems are quickly sorted out using this, and it is a fast data operation process that increases the effectiveness of different mathematical operations. It makes programming easy by introducing different sorts of techniques and approaches. One of the most efficient methods that are used in this system is the introduction of logical operations. Logical operations increase the functions and authenticity of different mathematical operations, and they help in sorting out the algorithm problem without any kind of issue. Also, to proceed with the data manipulation and do the immediate data analysis Digital Signal Processing is used. Digital Signal Processing increases the efficiency of High Speed Mathematics data operations, and it deals with the circular buffer and various modifications of Advanced form of technology. It plays an efficient hole in simultaneous dealing with the hierarchical data processing programs, and it also promises The authenticity and factual based mathematical solution. It also deals with the circular buffering and maintains the computer framework to make sure that all the mathematical programs proceed well. Digital system processing deals with circular buffering, and it has multiple memory hierarchical modes that sort out the mathematical problems by using different binary codes and alphabetical order. Concisely the purpose of using Digital Signal Processing is to reduce the errors that occur in precise manipulation and data processing. Describe this has also proceeded with the Complex data analysis Strategies, and it too many of the primary operations to continue. 

Digital Signal Processing algorithm

The research is based on the implementation of digital Signal Processing into the optical based access network. Digital Signal Processing algorithm proves out to be the most beneficial technique for doing logical operations and doing Complex mathematical methods. It is a step by step procedure that increases the effectiveness and the problem solving techniques of logical operations. Different logical Gates are implemented into the system to increase the efficiency of a computer microprocessor to sort out different kinds of problems. This consistent strategy proves out to be highly advantageous to solve out different Complex mathematical programs, and it has nothing to do with hardware. It proceeds by doing various modifications into software and by the introduction of different logical Gates into the system. With the advancement of technology, the system is highly implemented into the advanced computer microprocessors because of its diversity in various fields.

Figure 02: Digital Processing System Algorithm

If applications are not limited to a single domain, but it has a vast range of applications that increases the capacity of solving problems that have Complex logical operations. The logical Gates that are used to do these digital signal based processing algorithm includes AND, OR, NOR, NAND, and modifications of these. The introduction of these logical Gates into the internal system of computer processing plays a decisive role in dealing with simultaneous communication, and they provide the system with full duplex high speed processing. Installing this equipment into the configuration and system basic unit of computer are omnidirectional, and they go for working in a flow to proceed with all the problem solving techniques. Sometimes these modifications are made into the computer system by interfering with the functioning and operations of hardware. Still, now using different logical Gates, these operations can be implemented into the software system, increasing the diversity of computer science.

Figure 03: Methodology of DSP

 

Characteristics of the digital signal processing algorithm 

Digital Signal Processing proves out to be one of the most efficient and effective technique that increases the database management and helps the mathematical problems to sort out quickly. The Digital signal processor has a vast diversity of Technical operations that work well for data manipulation and data analysis of sophisticated strategies. The two appropriate categories in which digital signal processing works is the determination and mathematical manipulations. The set of manipulation deals with the typical application and primary operations of the system while increasing the chances of word processing operating system Digital Signal Processing Motion Control and Engineering simultaneous. So we can have an idea about how diverse the field of Digital Signal Processing is. It provides the computer with a sequential alphabetical set of instructions, and these instructions work in alphabetical order to solve the mathematical complications. (Ndinechi et al., 2010).

Computer software sends the logical operations with stimuli of solving a numerical binary code. After processing the binary system and something, the product output signal is received as FIR digital filters. 

Following are the key features of digital signal processing:

  1. This system is highly complex and proceeds with doing high speed arithmetic data operations.
  2. It has different hierarchical memory modes that are discussed in the methodology of the research these modes play a decisive role in multiple memory access, and they can handle able mathematical operations without any delay.
  3. Other than this day also deals with circular buffering, and they distinguish every part of the arithmetical service while doing offline processing.
  4. This precise operation is one of the most efficient processing program used in medical imaging as well. It is not only limited to offline processing, but it also has many real time processing techniques that it works well for computer mainframe and circular buffer. Circular buffering is one of the characteristic features of digital signal processing. (Ndinechi et al., 2010)

Conclusion:

Digital signal processing is an efficient technique that solves mathematical problems efficiently. It deals with the fundamental, logical issues to sort out a different set of questions. It is a high speed technique and does all the mathematical operations efficiently without any kind of error. It proceeds with all the mathematical operational by the introduction of logical gates. Also, combining this system with the optical based access network will be highly beneficial as it will increase the speed of mathematical manipulations even more. In a nutshell, it is the most helpful technique to perform logical operations with greater precision, accuracy, and high speed. Also, it increases the digital processing capability of a computer.

References:

anon. (n.d.): „Signal Processing Algorithms and Techniques. “ Signal Processing Algorithms and Techniques Engineering, School of Newcastle University. Retrieved am 29.05.2020 from https://www.ncl.ac.uk/engineering/research/eee/isc/siginfproc/signal processing algorithms/.

anon. (n.d.): „3   Introduction to Digital Signal Processors“. Application Specific Processors. Retrieved am 29.05.2020 from https://www.byclb.com/TR/Tutorials/dsp_appl_spc/ch3_1.htm.

anon. (n.d.): „Signal Processing Algorithm“. Signal Processing Algorithm an overview | ScienceDirect Topics. Retrieved am 29.05.2020 from https://www.sciencedirect.com/topics/computer science/signal processing algorithm.

anon. (n.d.): „Digital Signal Processing Algorithm“. Digital Signal Processing Algorithm an overview | ScienceDirect Topics. Retrieved am 29.05.2020 from https://www.sciencedirect.com/topics/engineering/digital signal processing algorithm.

Ndinechi, M; Onwuchekwa, N; Chukwudebe, G (2010): Algorithm for applying interpolation in digital signal processing systems“. In: International Journal of Natural and Applied Sciences. 5 (2), DOI: 10.4314/ijonas.v5i2.49955.

Maslennikow, O.; Sergiyenko, A. (n.d.): „Mapping DSP Algorithms into FPGA“. In: International Symposium on Parallel Computing in Electrical Engineering (PARELEC06)., DOI: 10.1109/parelec.2006.51.

anon. (2009): „Complex DSP Core Design for FPGA“. In: FPGA Based Implementation of Signal Processing Systems., pp. 211–242, DOI: 10.1002/9780470713785.ch10.

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