Digital Signal ProcessingCovers the analysis and representation of discretetime signals and systems, including discretetime convolution, difference equations, the ztransform, and the discretetime Fourier transform. Emphasis is placed on the similarities and distinctions between discretetime and continuoustime signals and systems. Also covers digital network structures for implementation fo both recursive (infinite impulse response) and nonrecursive (finite impulse response) digital filters with four videocassettes devoted to digital filter design for recursive and nonrecursive filters. Concludes with a discussion of the fast Fourier transform algorithm for computation of the discrete Fourier transform. 
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Review: Digital Signal Processing
User Review  Leonard  GoodreadsThere are many books on digital signal processing, but this is the standard by which the others are judged. Read full review
Contents
DISCRETETIME SIGNALS AND SYSTEMS  6 
FLOW GRAPH AND MATRIX REPRESENTA  136 
DIGITAL FILTER DESIGN TECHNIQUES  195 
Copyright  
4 other sections not shown
Common terms and phrases
analog filter applied approximation arithmetic assume autocorrelation autocovariance causal cepstrum chapter circular convolution coefficients complex cepstrum complex logarithm computation consider continuoustime corresponding defined denote depicted in Fig derived determine difference equation digital filter digital signal processing discrete Fourier transform discussed error example exponential expressed FFT algorithm finite finiteduration sequence finitelength sequence FIR system firstorder fixedpoint fixedpoint arithmetic floatingpoint frequency response H(eia Hilbert transform implementation impulse response input integral inverse length linear phase linear shiftinvariant system linear system lowpass filter magnitude minimumphase multiplication node noise sources noisetosignal ratio obtain output noise parameters passband periodic sequence periodogram poles and zeros polynomial power spectrum Problem properties quantization random process random variables realization region of convergence representation represented result samples secondorder sequence x(n Show shown in Fig spectrum estimate stopband system function techniques theorem truncation twodimensional unit circle unitsample response variance zplane ztransform