## Digital Signal Processing FundamentalsNow available in a three-volume set, this updated and expanded edition of the bestselling The Digital Signal Processing Handbook continues to provide the engineering community with authoritative coverage of the fundamental and specialized aspects of information-bearing signals in digital form. Encompassing essential background material, technical details, standards, and software, the second edition reflects cutting-edge information on signal processing algorithms and protocols related to speech, audio, multimedia, and video processing technology associated with standards ranging from WiMax to MP3 audio, low-power/high-performance DSPs, color image processing, and chips on video. Drawing on the experience of leading engineers, researchers, and scholars, the three-volume set contains 29 new chapters that address multimedia and Internet technologies, tomography, radar systems, architecture, standards, and future applications in speech, acoustics, video, radar, and telecommunications. Emphasizing theoretical concepts, Digital Signal Processing Fundamentals provides comprehensive coverage of the basic foundations of DSP and includes the following parts: Signals and Systems; Signal Representation and Quantization; Fourier Transforms; Digital Filtering; Statistical Signal Processing; Adaptive Filtering; Inverse Problems and Signal Reconstruction; and Time–Frequency and Multirate Signal Processing. |

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### Contents

Signals and Systems | |

Ordinary Linear Differential and Difference Equations | |

Finite Wordlength Effects | |

Signal Representation and Quantization | |

AnalogtoDigital Conversion Architectures | |

Quantization of Discrete Time Signals | |

Fast Algorithms and Structures | |

Transform Domain Adaptive Filtering | |

Adaptive IIR Filters | |

Adaptive Filters for Blind Equalization | |

Inverse Problems and Signal Reconstruction | |

Inverse Problems Statistical Mechanics and Simulated | |

Signal Recovery from Partial Information | |

Algorithms for Computed Tomography | |

Robust Speech Processing as an Inverse Problem | |

Digital Filtering | |

PARTV Statistical Signal Processing | |

Overview of Statistical Signal Processing | |

Signal Detection and Classification | |

Spectrum Estimation and Modeling | |

From Gauss to Wiener | |

Validation Testing and Noise Modeling | |

Adaptive Filtering | |

Convergence Issues in the LMS Adaptive Filter | |

Robustness Issues in Adaptive Filtering | |

Recursive LeastSquares Adaptive Filters | |

Inverse Problems in Array Processing | |

Channel Equalization as a Regularized Inverse Problem | |

Inverse Problems in Microphone Arrays | |

Synthetic Aperture Radar Algorithms | |

Iterative Image Restoration Algorithms | |

TimeFrequency and Multirate Signal | |

Lapped Transforms | |