Circuits, Signals, and Speech and Image Processing / Edition 1

by Richard C. Dorf

Overview

In two editions spanning more than a decade, The Electrical Engineering Handbook stands as the definitive reference to the multidisciplinary field of electrical engineering. Our knowledge continues to grow, and so does the Handbook. For the third edition, it has expanded into a set of six books carefully focused on a specialized area or field of study. Each book represents a concise yet definitive collection of key concepts, models, and equations in its respective domain, thoughtfully gathered for convenient access.

Circuits, Signals, and Speech and Image Processing presents all of the basic information related to electric circuits and components, analysis of circuits, the use of the Laplace transform, as well as signal, speech, and image processing using filters and algorithms. It also examines emerging areas such as text-to-speech synthesis, real-time processing, and embedded signal processing. Each article includes defining terms, references, and sources of further information.

Encompassing the work of the world's foremost experts in their respective specialties, Circuits, Signals, and Speech and Image Processing features the latest developments, the broadest scope of coverage, and new material on biometrics.

Product Details

ISBN-13:	9780849373374
Publisher:	Taylor & Francis
Publication date:	01/13/2006
Series:	The Electrical Engineering Handbook
Edition description:	New Edition
Pages:	718
Product dimensions:	7.00(w) x 10.00(h) x 1.50(d)

Table of Contents

CIRCUITS. Passive Components. Voltage and Current Sources. Linear Circuit Analysis. Passive Signal Processing. Nonlinear Circuits. Laplace Transform. State Variables: Concept and Formulation. The z-Transform. T-π Equivalent Networks. Transfer Functions of Filters. Frequency Response. Stability Analysis. Computer Software for Circuit Analysis and Design. SIGNAL PROCESSING. Digital Signal Processing. Speech Signal Processing. Text-to-Speech (TTS) Synthesis. Spectral Estimation and Modeling. Multidimensional Signal Processing. Real-Time Digital Signal Processing. VLSI for Signal Processing. Acoustic Signal Processing. Neural Networks and Adaptive Signal Processing. Computing Environments for Digital Signal Processing. An Introduction to Biometrics. Iris Recognition. Liveness Detection in Biometric Devices. Human Identification Using Gait and Face. MATHEMATICS, SYMBOLS, AND PHYSICAL CONSTANTS. AUTHOR INDEX. SUBJECT INDEX.