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Signal Analysis and Prediction

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Cover of 'Signal Analysis and Prediction'

Table of Contents

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    Book Overview
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    Chapter 1 Time-Frequency and Time-Scale Signal Analysis by Harmonic Wavelets
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    Chapter 2 Wavelet Transforms in Image Processing
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    Chapter 3 General Sub-Band DCT: Fast Approximate Adaptive Algorithm
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    Chapter 4 Higher-Order Statistics in Signal Processing
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    Chapter 5 Constrained Optimization Using Geometric Algebra and its Application to Signal Analysis
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    Chapter 6 Processing of Non-Stationary Vibrations Using the Affine Wigner Distribution
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    Chapter 7 Coarsely Quantized Spectral Estimation of Radio Astronomic Sources in Highly Corruptive Environments
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    Chapter 8 Wavelet Transform Implementation for Star-Shaped Modelling
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    Chapter 9 The Bayesian Approach to Signal Modelling
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    Chapter 10 Regularized Signal Identification Using Bayesian Techniques
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    Chapter 11 System Identification
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    Chapter 12 ARMAX Model Identification with Unknown Process Order and Time-Varying Parameters
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    Chapter 13 Using Kautz Models in Model Reduction
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    Chapter 14 Condition Monitoring Using Periodic Time-Varying AR Models
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    Chapter 15 Rayleigh Quotient Iteration for a Total Least Squares Filter in Robot Navigation
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    Chapter 16 Wavelet Use for Noise Rejection and Signal Modelling
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    Chapter 17 Self-Reference Joint Echo Cancellation and Blind Equalization in High Bit-Rate Digital Subscriber Loops
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    Chapter 18 Predictability: An Information-Theoretic Perspective
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    Chapter 19 Self-Adaptive Evolution Strategies for the Adaptation of Non-Linear Predictors in Time Series Analysis
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    Chapter 20 Non-Linear Dynamic Modelling with Neural Networks
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    Chapter 21 Non-Linear Adaptive Prediction of Speech with a Pipelined Recurrent Neural Network and Advanced Learning Algorithms
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    Chapter 22 Neural and Fuzzy Logic Video Rate Prediction for MPEG Buffer Control
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    Chapter 23 A Motion Compensation Algorithm Based on Non-Linear Geometric Transformations and Quadtree Decomposition
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    Chapter 24 Smoothing Techniques for Prediction of Non-Linear Time Series
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    Chapter 25 Non-Parametric Forecasting Techniques for Mixing Chaotic Time Series
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    Chapter 26 Signal Analysis and Modelling for Speech Processing
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    Chapter 27 Modulation Spectrum in Speech Processing
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    Chapter 28 Detection and Discrimination of Double Talk and Echo Path Changes in a Telephone Channel
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    Chapter 29 A CELP-Based Speech-Model Process
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    Chapter 30 Vector-Predictive Speech Coding with Quantization Noise Modelling
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    Chapter 31 Modelling Signal Dynamics in Voiced Speech Coding
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    Chapter 32 Experimental Study of Speech Recognition in Noisy Environments
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    Chapter 33 Non-Linear Parametric Modelling by Means of Self-Exciting Threshold Autoregressive Models
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    Chapter 34 Lyapunov Exponents of Simulated and Measured Quasi-Periodic Flows
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    Chapter 35 Rank Order Based Decomposition and Classification of Heart Rate Signals
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Mentioned by

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2 patents
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1 Wikipedia page

Citations

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43 Mendeley
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Title
Signal Analysis and Prediction
Published by
Springer Science & Business Media, December 1998
DOI 10.1007/978-1-4612-1768-8
ISBNs
978-0-8176-4042-2, 978-1-4612-7273-1, 978-1-4612-1768-8
Authors

Prochazka, Ales, Kingsbury, N.G., Payner, P.J.W., Uhlir, J.

Editors

Procházka, Ales, Uhlíř, Jan, Rayner, P. W. J., Kingsbury, N. G.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 2%
United States 1 2%
Iran, Islamic Republic of 1 2%
Unknown 40 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 26%
Student > Master 11 26%
Student > Bachelor 5 12%
Professor 3 7%
Researcher 3 7%
Other 10 23%
Readers by discipline Count As %
Engineering 24 56%
Computer Science 9 21%
Unspecified 4 9%
Chemical Engineering 2 5%
Business, Management and Accounting 2 5%
Other 2 5%