
- 300 pages
- English
- PDF
- Available on iOS & Android
Mathematical Tools in Signal Processing with C++ and Java Simulations
About this book
In recent decades, the study of signal processing has become increasingly complex, with new techniques 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 used in modelling 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.
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Table of contents
- Contents
- Preface
- 1 Sampling Theory
- 2 Quantisation
- 3 Digital Linear Filters
- 4 Convolution
- 5 Discrete Fourier Transform
- 6 Discrete cosine-Transform
- 7 Discrete Wavelets
- 8 z-Transform
- 9 Discrete Hidden Markov Processes
- 10 Linear Prediction Analysis
- 11 Neural Networks
- 12 X-ray Tomography
- 13 Data Compression
- 14 Digital Signal Processors
- Bibliography
- Index
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