Signal Analysis and Prediction

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 m...

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Bibliographic Details
Main Authors: Prochazka, Ales, Kingsbury, N.G. (Author), Payner, P.J.W. (Author), Uhlir, J. (Author)
Format: eBook
Language:English
Published: Boston, MA Birkhäuser 1998, 1998
Edition:1st ed. 1998
Series:Applied and Numerical Harmonic Analysis
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • Signal Analysis
  • Time-Frequency and Time-Scale Signal Analysis by Harmonic Wavelets
  • Wavelet Transforms in Image Processing
  • General Sub-Band DCT: Fast Approximate Adaptive Algorithm
  • Higher-Order Statistics in Signal Processing
  • Constrained Optimization Using Geometric Algebra and its Application to Signal Analysis
  • Processing of Non-Stationary Vibrations Using the Affine Wigner Distribution
  • Coarsely Quantized Spectral Estimation of Radio Astronomic Sources in Highly Corruptive Environments
  • Wavelet Transform Implementation for Star-Shaped Modelling
  • Signal Identification and Modelling
  • The Bayesian Approach to Signal Modelling
  • Regularized Signal Identification Using Bayesian Techniques
  • System Identification
  • ARMAX Model Identification with Unknown Process Order and Time-Varying Parameters
  • Using Kautz Models in Model Reduction
  • Condition Monitoring Using Periodic Time-Varying AR Models
  • Rayleigh Quotient Iteration for a Total Least Squares Filter in Robot Navigation
  • Wavelet Use for Noise Rejection and Signal Modelling
  • Self-Reference Joint Echo Cancellation and Blind Equalization in High Bit-Rate Digital Subscriber Loops
  • Signal Prediction
  • Predictability: An Information-Theoretic Perspective
  • Self-Adaptive Evolution Strategies for the Adaptation of Non-Linear Predictors in Time Series Analysis
  • Non-Linear Dynamic Modelling with Neural Networks
  • Non-Linear Adaptive Prediction of Speech with a Pipelined Recurrent Neural Network and Advanced Learning Algorithms
  • Neural and Fuzzy Logic Video Rate Prediction for MPEG Buffer Control
  • A Motion Compensation Algorithm Based on Non-Linear Geometric Transformations and Quadtree Decomposition
  • Smoothing Techniques for Prediction of Non-Linear Time Series
  • Non-Parametric Forecasting Techniques for Mixing Chaotic Time Series
  • Speech and Biomedical Signal Processing
  • Signal Analysis and Modelling for Speech Processing
  • Modulation Spectrum in Speech Processing
  • Detection and Discrimination of Double Talk and Echo Path Changes in a Telephone Channel
  • A CELP-Based Speech-Model Process
  • Vector-Predictive Speech Coding with Quantization Noise Modelling
  • Modelling Signal Dynamics in Voiced Speech Coding
  • Experimental Study of Speech Recognition in Noisy Environments
  • Non-Linear Parametric Modelling by Means of Self-Exciting Threshold Autoregressive Models
  • Lyapunov Exponents of Simulated and Measured Quasi-Periodic Flows
  • Rank Order Based Decomposition and Classification of Heart Rate Signals