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Mathematical Tools In Signal Processing with C++ snd Java Simulations
In recent decades, the study of signal processing has become increasingly complex, with new technique and applications constantly being developed for the processing, transformation, and interpretation of signals. This book provides a comprehensive introduction to the traditional and modern methods used in signal processing. It is designed to impart to the reader the mathematical techniques use in modeling signals and systems, encompassing standard mathematical tools as well as newer techniques such as wavelets and neural networks. C++ and Java implementations furnish these descriptions. The book offers an excellent balance of theory and application, beginning with a complete framework of discrete time signal processing.
1 Sampling Theory 1
2 Quantisation 13
3 Digital Linear Filters 36
4 Convolution 54
5 Discrete Fourier Transform 62
6 Discrete cosine Transform 74
7 Discrete Wavelets 81
8 z-Transform 101
9 Discrete Hidden Markov Processes 117
10 Linear Prediction Analysis 149
11 Neural Networks 172
12 X-ray Tomography 198
13 Data Compression 206
14 Digital Signal Processors 256
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