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Real-Time Digital Signal Processing
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Signals can be divided into three categories: continuous-time (analog) signals, discrete-time signals, and digital signals. The signals that we encounter daily are mostly analog signals. These signals are defined continuously in time, have an infinite range of amplitude values, and can be processed using analog electronics containing both active and passive circuit elements. Discrete-time signals are defined only at a particular set of time instances. Therefore, they can be represented as a sequence of numbers that have a continuousrangeofvalues.Digitalsignalshavediscretevaluesinbothtimeandamplitude;thus,theycan be processed by computers or microprocessors. In this book, we will present the design, implementation, and applications of digital systems for processing digital signals using digital hardware. However, the analysis usually uses discrete-time signals and systems for mathematical convenience. Therefore, we use the terms ‘discrete-time’ and ‘digital’ interchangeably. Digital signal processing (DSP) is concerned with the digital representation of signals and the use of digital systems to analyze, modify, store, or extract information from these signals. Much research has been conducted to develop DSP algorithms and systems for real-world applications. In recent years, the rapid advancement in digital technologies has supported the implementation of sophisti- cated DSP algorithms for real-time applications. DSP is now used not only in areas where analog methods were used previously, but also in areas where applying analog techniques is very difficult or impossible.
Sen M Kuo, Bob H Lee and Wenshun Tian - Personal Name
978-0-470-01495-0
NONE
Information Technology
English
2006
1-666
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