Signal Analysis and Prediction

1. Front Matter

   Pages i-xxv

   PDF

2. Signal Analysis

   1. Front Matter

      Pages 1-1

      PDF

   2. Time-Frequency and Time-Scale Signal Analysis by Harmonic Wavelets

      • David E. Newland

      Pages 3-26

   3. Wavelet Transforms in Image Processing

      • Nick Kingsbury, Julian Magarey

      Pages 27-46

   4. General Sub-Band DCT: Fast Approximate Adaptive Algorithm

      • Abdulnasir Hossen, Ulrich Heute

      Pages 47-56

   5. Higher-Order Statistics in Signal Processing

      • Asoke K. Nandi

      Pages 57-77

   6. Constrained Optimization Using Geometric Algebra and its Application to Signal Analysis

      • Joan Lasenby, Anthony N. Lasenby

      Pages 79-88

   7. Processing of Non-Stationary Vibrations Using the Affine Wigner Distribution

      • Marcelo Iribarren, Cesar San Martin, Pedro Saavedra

      Pages 89-101

   8. Coarsely Quantized Spectral Estimation of Radio Astronomic Sources in Highly Corruptive Environments

      • Rodolphe Weber, Christian Faye

      Pages 103-112

   9. Wavelet Transform Implementation for Star-Shaped Modelling

      • Andrei Doncescu, Jean-Paul Gourret

      Pages 113-128

3. Signal Identification and Modelling

   1. Front Matter

      Pages 129-129

      PDF

   2. The Bayesian Approach to Signal Modelling

      • Peter Rayner, Bill Fitzgerald

      Pages 131-150

   3. Regularized Signal Identification Using Bayesian Techniques

      • Anthony Quinn

      Pages 151-162

   4. System Identification

      • Lennart Ljung

      Pages 163-173

   5. ARMAX Model Identification with Unknown Process Order and Time-Varying Parameters

      • S. D. Likothanassis, E. N. Demiris

      Pages 175-184

   6. Using Kautz Models in Model Reduction

      • Albertus C. den Brinker, Harm J. W. Belt

      Pages 185-196

   7. Condition Monitoring Using Periodic Time-Varying AR Models

      • Andrew C. McCormick, Asoke K. Nandi

      Pages 197-204

   8. Rayleigh Quotient Iteration for a Total Least Squares Filter in Robot Navigation

      • Tianruo Yang, Man Lin

      Pages 205-214

   9. Wavelet Use for Noise Rejection and Signal Modelling

      • Aleš Procházka, Martina Mudrová, Martin Štorek

      Pages 215-226

   10. Self-Reference Joint Echo Cancellation and Blind Equalization in High Bit-Rate Digital Subscriber Loops

       • Iván A. Pérez-Álvarez, José M. Páez-Borrallo, Santiago Zazo-Bello

       Pages 227-246

Methods of signal analysis represent a broad research topic with applications in many disciplines, including engineering, technology, biomedicine, seismography, eco­ nometrics, and many others based upon the processing of observed variables. Even though these applications are widely different, the mathematical background be­ hind them is similar and includes the use of the discrete Fourier transform and z-transform for signal analysis, and both linear and non-linear methods for signal identification, modelling, prediction, segmentation, and classification. These meth­ ods are in many cases closely related to optimization problems, statistical methods, and artificial neural networks. This book incorporates a collection of research papers based upon selected contri­ butions presented at the First European Conference on Signal Analysis and Predic­ tion (ECSAP-97) in Prague, Czech Republic, held June 24-27, 1997 at the Strahov Monastery. Even though the Conference was intended as a European Conference, at first initiated by the European Association for Signal Processing (EURASIP), it was very gratifying that it also drew significant support from other important scientific societies, including the lEE, Signal Processing Society of IEEE, and the Acoustical Society of America. The organizing committee was pleased that the re­ sponse from the academic community to participate at this Conference was very large; 128 summaries written by 242 authors from 36 countries were received. In addition, the Conference qualified under the Continuing Professional Development Scheme to provide PD units for participants and contributors.

• Filter
• MPEG
• Wavelets
• algorithms
• coding
• electrical engineering
• image processing
• linear optimization
• optimization
• signal analysis
• signal processing
• speech processing
• speech recognition
• system identification

• Institute of Chemical Technology, Prague, Czech Republic

  Ales Procházka

• Czech Technical University, Prague, Czech Republic

  Jan Uhlíř

• University of Cambridge, England, UK

  P. W. J. Rayner, N. G. Kingsbury

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