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OverviewThe 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 DetailsAuthor: Francis CastaniePublisher: 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: 9781848214569ISBN 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  This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release. Table of Contents1. 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.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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