Notes on Digital Signal Processing (dsp) System

НазваниеNotes on Digital Signal Processing (dsp) System
Дата конвертации29.10.2012
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Notes on Digital Signal Processing (DSP) System:

  1. “The subject of digital signal processing (DSP) encompasses the tools and techniques required for processing a variety of signals in engineering. The rapid advancement of microprocessor technology over the last two decades has made DSP a popular and attractive discipline. The omnipresence of DSP techniques in applications can be attributed to the speed, flexibility, and economy of processing digital signals as opposed to analog…To study DSP, we must understand the basic theory or signals and systems…A digital signal processing (DSP) system operates on a digital signal and converts it to another signal that has certain desirable characteristics. In other words, a DSP system processes a digital signal.”

Bose, Tamal (2004). Digital Signal and Image Processing. New Jersey: John Wiley & Sons, Inc. (pg. 1)

  1. “Signal-processing systems may be classified along the same lines as signals. That is, continuous-time systems are systems for which both the input and the output are continuous-time signals, and discrete-time systems are those for which both the input and the output are discrete-time signals. Similarly, a digital system is a system for which both the input and the output are digital signals. Digital signal processing, then, deals with the transformation of signals that are discrete in both amplitude and time…the theory of discrete-time signals and systems is also exceedingly useful for digital signals and systems, particularly if the signal amplitudes are finely quantized…Discrete-time signals may arise by sampling a continuous-time signal, or they may be generated directly by some discrete-time process. Whatever the origin of the discrete-time signals, discrete-time signal-processing systems have many attractive features. They can be realized with great flexibility with a variety of technologies, such as charge transport devices, surface acoustic wave devices, general-purpose digital computers, or high-speed microprocessors. Complete signal-processing systems can be implemented using VLSI techniques.”

Oppenheim, Alan V., Schafer, Ronald W., Buck, John R. (2007). Discrete-Time Signal Processing (2nd ed.). New Jersey: Pearson Prentice Hall. (pg. 35)

  1. “In this modern world we are surrounded by all kinds of signals in various forms. Some of the signals are natural, but most of the signals are manmade. Some signals are necessary (speech), some are pleasant (music), while many are unwanted or unnecessary in a given situation. In an engineering context, signals are carriers of information, both useful and unwanted. Therefore extracting or enhancing the useful information from a mix of conflicting information is a simplest form of signal processing. More generally, signal processing is an operation designed for extracting, enhancing, storing, and transmitting useful information. The distinction between useful and unwanted information is often subjective as well as objective. Hence signal processing tends to be application dependent. The signals that we encounter in practice are mostly analog signals. These signals, which vary continuously in time and amplitude, are processed using electrical networks containing active and passive circuit elements. This approach is known as analog signal processing (ASP)-for example, radio and television receivers. They can also be processed using digital hardware containing adders, multipliers, and logic elements or using special-purpose microprocessors. However, one needs to convert analog signals into a form suitable for digital hardware. This form of the signal is called a digital signal. It takes one of the finite number of values at specific instances in time, and hence it can be represented by binary numbers, or bits. The processing of digital signals is called DSP…Some important advantages of DSP are these:

  1. Systems using the DSP approach can be developed using software running on a general-purpose computer. Therefore DSP is relatively convenient to develop and test, and the software is portable.

  2. DSP operations are based solely on additions and multiplications, leading to extremely stable processing capability-for example, stability independent or temperature.

  3. DSP operations can easily be modified in real time, often by simple programming changes, or by reloading of registers.

  4. DSP has lower cost due to VLSI technology, which reduces costs of memories, gates, microprocessors, and so forth.

A principal disadvantage of DSP is the speed of operations, especially at very high frequencies. Primarily due to the above advantages, DSP is now becoming a first choice in many technologies and applications, such as consumer electronics, communications, wireless telephones, and medical imaging.”

Ingle, Vinay K., Proakis, John G. (2000). Digital Signal Processing using Matlab. California: Bookware Companion Series. (pg. 2-4)

  1. “Digital signal processing is an area of science and engineering that has developed rapidly over the past 30 years. This rapid development is a result of the significant advances in digital computer technology and integrated-circuit fabrication. The digital computers and associated digital hardware of three decades ago were relatively large and expensive and, as a consequence, their use was limited to general-purpose non-real-time (off-line) scientific computations and business applications. The rapid developments in integrated-circuit technology, starting with medium-scale integration (MSI) and progressing to large-scale integration (LSI), and now, very-large-scale integration (VLSI) of electronic circuits has spurred the development of powerful, smaller, faster, and cheaper digital computers and special-purpose digital hardware. These inexpensive and relatively fast digital circuits have made it possible to construct highly sophisticated digital system capable of performing complex digital signal processing functions and tasks that were conventionally performed by analog means are realized today by less expensive and often more reliable digital hardware.”

Proakis, John G., Manolakis, Dimitris G. (1996). Digital Signal Processing Principles, Algorithms, and Applications (3rd ed.). New Jersey: Prentice Hall. (pg. 1)

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