## Analog and Digital Signal ProcessingBuilding on the success of the first edition, this popular text book has now been updated and revised. Covering both analog and digital signal processing techniques in an evenly balanced manner, Professor Baher provides an excellent introductory and comprehensive text emphasising how analog and digital techniques complement each other rather than compete. Brings the entire area of signal processing within the scope of modern undergraduate curricula Discusses topics such as spectral analysis of continuous and discrete signals (deterministic and random), Fourier, Laplace, and z-transforms, analysis of continuous and discrete systems and circuits, design of analog and digital filters, fast Fourier transform algorithms and finite word-length effects in digital processors Presents a final chapter on advanced signal processing (including linear estimation, adaptive filters, over-sampling sigma-delta converters, and wavelets) to encourage further interest Contains numerous solved examples throughout and MATLAB(r) exercises at the end of each chapter Written primarily for undergraduates, Analog Digital Signal Processing will also be an authoritative text for postgraduate students and professional engineers. |

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### Contents

General Introduction | 1 |

The Fourier Series in Spectral Analysis and Function | 8 |

Problems | 59 |

Problems | 123 |

Computer Exercises | 209 |

Problems | 248 |

Problems | 268 |

Problems | 303 |

Computer Exercises | 345 |

Computer Exercises | 387 |

Problems | 413 |

Problems | 439 |

Functions of a Real Variable | 476 |

484 | |

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### Common terms and phrases

amplitude analysis analytic approximation attenuation autocorrelation band-pass binary calculations causal chapter circuit Consider constant convergence convolution corresponding cross-correlation defined digital filter digital signal digital signal processing discontinuity discrete discrete-time discussed electrical network error estimate evaluate Example expression F(co f(nT factor FFT algorithm filter coefficients finite number FIR filter fixed-point arithmetic Fourier coefficients Fourier series Fourier transform frequency domain function f(t given gives impulse response initial conditions input integral interval inverse Laplace transform linear low-pass mean-square multiplication noise obtained output passband periodic function phase poles polynomial power spectrum problem quantization realization relation representation result round-off sampling frequency Section sequence shown in Fig signal processing solution spectral stationary process stochastic stopband system function techniques theorem transfer function transform pair truncated Fourier series two's complement unit circle unit impulse values variable voltage wavelet window write z-plane z-transform zero

### References to this book

Selective Linear-Phase Switched-Capacitor and Digital Filters Hussein Baher No preview available - 1993 |