Wavelet Analysis And Its Applications - Proceedings Of The Third International Conference On Waa (In 2 Volumes)
Will be published approx. on 15. April 2003
Book
Hardback
1056 pages
978-981-238-342-6 (ISBN)
Description
This book captures the essence of the current state of research in wavelet analysis and its applications, and identifies the changes and opportunities - both current and future - in the field. Distinguished researchers such as Prof John Daugman from Cambridge University and Prof Victor Wickerhauser from Washington University present their research papers.
More details
Language
English
Place of publication
Singapore
Singapore
Target group
College/higher education
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Weight
1760 gr
ISBN-13
978-981-238-342-6 (9789812383426)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Content
Volume 1: Accelerating Convergence of Monte Carlo Simulations and Measuring Weak Biosignals Using Wavelet Threshold Denoising (M V Wickerhauser) One of Image Compression Methods Based on Biorthogonal Wavelet Transform and LBG Algorithm (J Lin et al.) A Video Watermarking Algorithm Using Fast Wavelet (J Zhang et al.) Structural and Geometric Characteristics of Sets of Convergence and Divergence of Multiple Fourier Series of Functions which Equal Zero on Some Set (I L Bloshanskii) Sequence Images Data Fusion Based on Wavelet Transform Approach (H Tao et al.) Radar Detection of Minimum Altitude Flying Targets Based on Wavelet Transforms (H Li et al.) Precursors of Engine Failures Revealed by Wavelet Analysis (I M Dremin) Volume 2: Demodulation by Complex-Valued Wavelets for Stochastic Pattern Recognition: How Iris Recognition Works (J Daugman) Wavelets and Image Compression (V A Nechitailo) Fast Wavelet-Based Video Codec and its Application in an IP Version 6-Ready Serverless Videoconferencing (H L Cycon et al.) On a Class of Optimal Wavelets (N A Strelkov & V L Dol'nikov) A Wavelet-Based Digital Watermarking Algorithm (H Q Sun et al.) Research of the Gyro Signal De-Noising Method Based on Stationary Wavelets Transform (J Guo et al.) Adaptive De-Noising of Low SNR Signals (D Isar & A Isar) Analysis of the DLA-Process with Gravitational Interaction of Particles and Growing Cluster (A Loskutov et al.) and other papers