## Digital Signal ProcessingCovers the analysis and representation of discrete-time signals and systems, including discrete-time convolution, difference equations, the z-transform, and the discrete-time Fourier transform. Emphasis is placed on the similarities and distinctions between discrete-time and continuous-time 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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### Contents

DISCRETETIME SIGNALS AND SYSTEMS | 6 |

THE ZTRANSFORM | 45 |

FLOW GRAPH AND MATRIX REPRESENTA | 136 |

Copyright | |

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### Common terms and phrases

addition algorithm analog analysis applied approach approximation assume bits branch causal chapter coefficients complex computation consequently consider convolution corresponding defined denote derived desired determine digital filter direct discrete Fourier transform discussed effect equal error estimate evaluating example expressed fact factor finite flow graph follows Fourier transform frequency response given implementation important impulse response input integral inverse length linear system magnitude mean method multiplication node noise obtain output parameters periodic periodic sequence phase points poles possible probability Problem procedure properties quantization random ratio realization referred region of convergence relation representation represented respectively result rounding samples sequence sequence x(n Show shown in Fig signal signal processing specifications spectrum speech structure system function techniques theorem truncation unit circle unit-sample response variables variance window z-transform zero