Digital signal filtering, analysis and restoration
著者
書誌事項
Digital signal filtering, analysis and restoration
（IEE telecommunications series, 44）
the Institution of Electrical Engineers, c2000
- タイトル別名
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Číslicovȧ filtrace, analẏza a restaurace signȧlů
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注記
Includes bibliographical references and index
Translated from the Czech: Číslicovȧ filtrace, analẏza a restaurace signȧlů, c1997
内容説明・目次
内容説明
The processing and analysis of signals and data is today a fast-growing and crucial activity in a diverse range of fields, not only in communications and image technology itself but in almost every other research area in science. The purpose of this book is to explain some of the theoretical concepts that underly the methods now in common use. The author starts from the assumption that some knowledge of the basic principles should be in the toolkit of every engineer or scientist working with signals or data.
Thus the book introduces the basic theory of discrete-time systems, processes and signals including discrete transforms. It explains classical digital filtering, and averaging methods to improve the signal-to-noise ratio or repetitive signals. Correlation and spectral analysis approaches to analysing signals are covered as well as methods to estimate and define unknown signals. Non-linear processing is introduced including the use of neural networks. The final chapter extends what the reader has learnt into the arena of multidimensional signals and data.
The aim of the book is not to be deeply rigorous mathematically but rather to provide full and practical explanation of the theories and concepts behind these processing techniques which are largely available today as software programs and packages.
目次
Chapter 1: Properties of discrete and digital methods of signal processing
Chapter 2: Discrete signals and systems
Chapter 3: Discrete linear transforms
Chapter 4: Stochastic processes and their characteristics
Chapter 5: Linear filtering of signals and principles of filter design
Chapter 6: Signal enhancement by averaging
Chapter 7: Complex signals and their applications
Chapter 8: Correlation analysis
Chapter 9: Spectral analysis
Chapter 10: Inverse filtering and restoration of signals in noise
Chapter 11: Adaptive filtering and identification
Chapter 12: Nonlinear filtering
Chapter 13: Signal processing by neural networks
Chapter 14: Multidimensional signals
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