Overview

The continuously increasing computing power of Digital Signal Processing makes it now possible to efficiently implement Non-linear Algorithms for Signal Processing (NLSP). This book proposes a comprehensive review of Non-Linear Signal Processing Methods and the associated Parameter Estimation principles. The various existing approaches are considered: Classical descriptions (Hammerstein models, Volterra Equations ?), and more modern ones like Neural Network based ones, Wavelet Transform based decompositions, etc. The estimation of parameters is also considered: Classical Kalman Filter, Particle Filtering, and Self Learning Networks.

Full Product Details

Author:   Francis Castanie
Publisher:   ISTE Ltd and John Wiley & Sons Inc
Imprint:   ISTE Ltd and John Wiley & Sons Inc
Dimensions:   Width: 15.00cm , Height: 2.50cm , Length: 25.00cm
Weight:   0.674kg
ISBN:  

9781848214569

ISBN 10:   1848214561
Pages:   160
Publication Date:   04 August 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Not yet available  
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Table of Contents

1. Basic classification of Non Linear (NL) representations of signals: with or without memory 1.1 Memoryless systems effects on signals: Probability Density transformations. Random Processes Moment transformations: Price theorem and its generalizations. 1.2 Time Dependent NL signal models: integral and differential equations (Fredholm, Volterra, etc.). 2. Modeling Non-Linear systems 2.1 Hammerstein separable Models 2.2 Cellular networks: Neural Networks, Support Vector Machines 2.3 State Space Equation based: Extended Kalman Filter 3. Parameter estimation in NL systems 3.1 Known Input Methods: Kalman, Least Squares and Recursive Least Squares, Supervised (i.e. 'with learning phase'): Neural Networks 3.2 Self-learning mode: Kohonen-like algorithms 4. Selected application examples derived from: 4.1 Basic Signal Processing: Polynomial NL systems, hard-limiters, clippers, etc. 4.2 Space Telecommunications: Satellite On-board Solid State Power Amplifier, Non-Linear Channel Equalizers.

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