Overview

Recent Developments in Time-Frequency Analysis brings together in one place important contributions and up-to-date research results in this fast moving area. Recent Developments in Time-Frequency Analysis serves as an excellent reference, providing insight into some of the most challenging research issues in the field.

Full Product Details

Author:   Leon Cohen ,  Patrick Loughlin
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of hardcover 1st ed. 1998
Dimensions:   Width: 15.50cm , Height: 0.70cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9781441950659

ISBN 10:   1441950656
Pages:   141
Publication Date:   29 October 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Joint Distributions of Arbitrary Variables.- On the Use of Spatial Time Frequency Distributions for Signal Extraction.- On the Statistics of Spectrogram Reassignment Vectors.- Generalization of the Gram-Charlier/Edgeworth Series and Application to Time-Frequency Analysis.- Time-Frequency Analysis Using Local Taylor Series Expansion.- The Analysis of Under Water Vehicle Non-Stationary Acoustic Transient Signals Using a New Fast Algorithm for Constructing Positive Time-Frequency Distributions.- Multicomponent Multidimensional Signals.- The Fractional Wave Packet Transform.- Statistical Performance of a TFD Based Detection Scheme.- Unique Positive FM-AM Decomposition of Signals.- Do Bounded Signals Have Bounded Amplitudes?.- A Time-Recursive Algorithm for the Computation of Auto-Ambiguity Function and the Wigner Distribution.- The “Harmonic” Rejecting Correlation Function.- Positive Time-Frequency Distributions via Quadratic Programming.- On the Computation of Optical Flow Using the 3-D Gabor Transform.- Evolutionary Maximum Entropy Spectral Estimation and Heart Rate Variability Analysis.- Optimal Reconstruction of Natural Images by Small Sets of Gabor Filters.- Scale and Translation Invariant Methods for Enhanced Time-Frequency Pattern Recognition.

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