Digital Processing of Random Signals / Edition 1

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Englewood Cliffs, N.J. 1993 Near Fine. New. No dust jacket. No diskette. Near Fine. New. No dust jacket. No diskette. Hard cover xiii, 449 p. 7"x9.5". Prentice Hall Information ... & System Sciences Series. Read more Show Less

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Overview

This excellent advanced text rigorously covers several topics related to random signal processing. Geared toward students of electrical engineering, its material is sufficiently general to be applicable to other engineering fields. It features numerous homework problems of varying difficulty, with ample hints for the more challenging problems, and solutions for those with results that reappear in later chapters.

Author Boaz Porat, Professor of Electrical Engineering at the Israel Institute of Technology (Technion), in Haifa, introduces stationary processes and discusses their structure and main properties. He proceeds to examinations of statistical estimation theory, classical spectrum estimation, and parameter estimation theory for Gaussian processes. Subsequent chapters explore autoregressive parameter estimation and its role in adaptive estimation techniques, in addition to estimation methods based on high-order statistical analysis and the time-frequency analysis of nonstationary signals. Four helpful appendixes conclude the text.

About the Author:
Boaz Porat, Department of Electrical Engineering, Technion, Israel Institute of Technology, Haifa, Israel

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Product Details

Table of Contents

Preface
1 Introduction 1
2 The Structure of Stationary Processes 11
3 Parameter Estimation Theory 56
4 Nonparametric Spectrum Estimation 98
5 Parameter Estimation Theory for Gaussian Processes 133
6 Autoregressive Parameter Estimation 152
7 Moving Average and ARMA Parameter Estimation 187
8 Adaptive AR and ARMA Estimation 218
9 Estimation of Deterministic Processes 260
10 High-order Statistical Analysis 294
11 Time-frequency Signal Analysis: Linear Transforms 332
12 Time-frequency Signal Analysis: Nonlinear Transforms 369
Appendix A. Notations and Facts 410
Appendix B. Hilbert Spaces 414
Appendix C. Asymptotic Theory 421
Appendix D. Kronecker Products and Liapunov Equations 429
Author Index 439
Subject Index 443
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