Aiming to give an introduction to the basic theory of digital signal processing and analysis, this book starts by providing the theoretical background and principal methods for one-dimensional signals before building to more complex signals. Translated and updated from the Czech original, it is not limited to classical methods and devotes a large proportion of its scope to the latest signal processing techniques enabled by modern software. Digital signal processing and filtering techniques have applications in fields such as telecommunications and multimedia, but also in measurement and system identification in all branches of engineering and a multitude of other sciences.
Introduction
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
References
Index
