## Digital Signal Processing: System Analysis and DesignThis new, fully-revised edition covers all the major topics of digital signal processing (DSP) design and analysis in a single, all-inclusive volume, interweaving theory with real-world examples and design trade-offs. Building on the success of the original, this edition includes new material on random signal processing, a new chapter on spectral estimation, greatly expanded coverage of filter banks and wavelets, and new material on the solution of difference equations. Additional steps in mathematical derivations make them easier to follow, and an important new feature is the do-it-yourself section at the end of each chapter, where readers get hands-on experience of solving practical signal processing problems in a range of MATLAB experiments. With 120 worked examples, 20 case studies, and almost 400 homework exercises, the book is essential reading for anyone taking DSP courses. Its unique blend of theory and real-world practical examples also makes it an ideal reference for practitioners. |

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dsp book of s. r. so good for signaling information

### Contents

1 | |

The z and Fourier transforms | 75 |

Discrete transforms | 143 |

Digital ﬁlters | 222 |

FIR ﬁlter approximations | 277 |

IIR ﬁlter approximations | 349 |

Spectral estimation | 409 |

Multirate systems | 455 |

Filter banks | 503 |

Wavelet transforms | 599 |

Finiteprecision digital signal processing | 668 |

Efﬁcient FIR structures | 740 |

Efﬁcient IIR structures | 787 |

863 | |

877 | |

### Other editions - View all

Digital Signal Processing: System Analysis and Design Paulo S. R. Diniz,Eduardo A. B. da Silva,Sergio L. Netto No preview available - 2002 |

Digital Signal Processing: System Analysis and Design Paulo S. R. Diniz,Eduardo A. B. da Silva,Sergio L. Netto No preview available - 2006 |

Digital Signal Processing: System Analysis and Design Paulo S. R. Diniz,Eduardo A. B. da Silva,Sergio L. Netto No preview available - 2010 |

### Common terms and phrases

algorithm analog analysis filters approximation autocorrelation band bandstop block cascade chapter Chebyshev command complex compute continuous-time signal convergence convolution corresponding decimation defined depicted in Figure described determine difference equation digital filter digital signal processing direct-form discrete-time signal equivalent Example ﬁlter filter bank filter coefficients FIR filter Fourier transform frequency domain frequency rad/s Frequency rad/sample frequency response given in Equation highpass implementation impulse response Input parameters input signal interpolation inverse Kaiser window lattice limit cycles linear linear-phase lowpass filter magnitude response masking filter Matlab matrix method multiplications node noise obtained orthogonal Output parameter passband phase poles polynomial polyphase components quantization realization representation resulting samples scaling sequence shown in Figure signal x(n sinusoid solution specifications state-space stopband structure symmetric synthesis filters theorem transfer function transition band two-band unit circle variable vector wavelet transform window z transform zeros