Download Digital Signal Processing Hand Book By Vijay K. Madisetti and Douglas B. Williams

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Introduction

Digital Signal Processing (DSP) is concerned with the theoretical and practical aspects of representing information bearing signals in digital form and with using computers or special purpose digital hardware either to extract that information or to transform the signals in useful ways. Areas where digital signal processing has made a significant impact include telecommunications, man-machine communications, computer engineering, multimedia applications, medical technology, radar and sonar, seismic data analysis, and remote sensing, to name just a few. During the first fifteen years of its existence, the field of DSP saw advancements in the basic theory of discrete-time signals and processing tools. This work included such topics as fast algorithms, A/D and D/A conversion, and digital filter design. The past fifteen years has seen an ever quickening growth of DSP in application areas such as speech and acoustics, video, radar, and telecommunications. Much of this interest in using DSP has been spurred on by developments in computer hardware and microprocessors. Digital Signal Processing Handbook CRCnetBASE is an attempt to capture the entire range of DSP: from theory to applications — from algorithms to hardware. Given the widespread use of DSP, a need developed for an authoritative reference, written by some of the top experts in the world. This need was to provide information on both theoretical and practical issues suitable for a broad audience — ranging from professionals in electrical engineering, computer science, and related engineering fields, to managers involved in design and marketing, and to graduate students and scholars in the field. Given the large number of excellent introductory texts in DSP, it was also important to focus on topics useful to the engineer or scholar without overemphasizing those aspects that are already widely accessible. In short, we wished to create a resource that was relevant to the needs of the engineering community and that will keep them up-to-date in the DSP field.

Table of Contents

Chapter No 1 Fourier Series, Fourier Transforms, and the DFT
Chapter No 2 Ordinary Linear Differential and Difference Equations
Chapter No 3 Finite Word length Effects
Chapter No 4 On Multidimensional Sampling
Chapter No 5 Analog-to-Digital Conversion Architectures
Chapter No 6 Quantization of Discrete Time Signals
Chapter No 7 Fast Fourier Transforms: A Tutorial Review and a State of the Art
Chapter No Fast Convolution and Filtering
Chapter No Complexity Theory of Transforms in Signal Processing
Chapter No 10 Fast Matrix Computations
Chapter No 11 Digital Filtering
Chapter No 12 Overview of Statistical Signal Processing
Chapter No 13 Signal Detection and Classification
Chapter No 14 Spectrum Estimation and Modeling
Chapter No 15 Estimation Theory and Algorithms: From Gauss to Wiener to Kalman