Wavelet Analysis And Its Applications And Active Media Technology

Wavelet analysis and its applications have been one of the fastest-growing research areas in the past several years. Wavelet theory has been employed in numerous fields and applications, such as signal and image processing, communication systems, biomedical imaging, radar, and air acoustics. Active media technology is concerned with the development of autonomous computational or physical entities capable of perceiving, reasoning, adapting, learning, cooperating, and delegating in a dynamic environment.This book captures the essence of the state of the art in wavelet analysis and its applications and active media technology. At the Congress, invited talks were delivered by distinguished researchers, namely Prof John Daugman of Cambridge University, UK; Prof Bruno Torresani of INRIA, France; Prof Victor Wickerhauser of Washington University, USA, Prof Ning Zhong of the Maebashi Institute of Technology, Japan; Prof John Yen of Pennsylvania State University, USA; and Prof Sankar K Pal of the Indian Statistical Institute, India.

' Wavelet analysis and its applications have been one of the fastest growing research areas in the past several years. Wavelet theory has been employed in numerous fields and applications, such as signal and image processing, communication systems, biomedical imaging, radar, air acoustics, and many other areas. Active media technology is concerned with the development of autonomous computational or physical entities capable of perceiving, reasoning, adapting, learning, cooperating, and delegating in a dynamic environment. This book captures the essence of the current state of the art in wavelet analysis and active media technology. It includes nine invited papers by distinguished researchers: P Zhang, T D Bui and C Y Suen from Concordia University, Canada; N A Strelkov and V L Dol''nikov from Yaroslavl State University, Russia; Chin-Chen Chang and Ching-Yun Chang from Taiwan; S S Pandey from R D University, India; and I L Bloshanskii from Moscow State Regional University, Russia. The proceedings have been selected for coverage in: Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings)CC Proceedings — Engineering & Physical Sciences Contents: Volume 1: Average Dimension of Wavelet Subspaces (N A Strelkov)Wavelet Based Particle Filters (G Rui & Z Wang)A New Editing Algorithm for Mesh Models (W Wang et al.)A Wavelet Transform Based Algorithm for Image Maximum Fusion (D Yin et al.)Resource Allocation Via Reinforcement Learning in Mass (Z Huang)A Float-Type Interface Meter (X Bai et al.)Application and Intelligent Conjunction of Different Function (H Ai et al.) Volume 2: Wavelet Subspaces and Lattice Packing (V L Dol''nikov & N A Strelkov)The Study on Sampling Interval for Time Series (X W Meng et al.)Graph-Based Candidate Item Set Generating Algorithm (P Guo et al.)Image Contrast Enhancement Based on Wavelet Transform (D Liu & J P Li)SIP in Multimedia Phone System Over IP (B B Wang et al.)Ontology-Based Resource Matchmaking in the Grid (G M Lu et al.)GIS Query Method Based on Qualitative Spatial Reasoning (P Guo et al.) Volume 3: A De-Noising Method Based on Wavelet (D Song & J He)Construction of Matrix Conjugate Quadrature Filters (L Sun et al.)Robust and Adaptive Digital Watermarking (J Zhang & S Hong)Home Automation System Based on Embedded Technology (C Qi & T Hang)Construction of a Novel Contourlet Transform (Q Lian & L Kong)Several Problems in the Wavelet-Based Local CT (X Wen et al.) and other papers Readership: Graduate students, academics, researchers and practitioners in the areas of pattern and handwriting recognition, image analysis, computer vision, and networking.Keywords:Wavelet Analysis;Image Processing;Signal Processing;Communications;Algorithms and Constructions;Intelligent Agent Technology;Multi-Agent Systems;Multi-Modal Processing;Detection'

Wavelet analysis and its applications have been one of the fastest-growing research areas in the past several years. Wavelet theory has been employed in numerous fields and applications, such as signal and image processing, communication systems, biomedical imaging, radar, and air acoustics. Active media technology is concerned with the development of autonomous computational or physical entities capable of perceiving, reasoning, adapting, learning, cooperating, and delegating in a dynamic environment. This book captures the essence of the state of the art in wavelet analysis and its applications and active media technology. At the Congress, invited talks were delivered by distinguished researchers, namely Prof John Daugman of Cambridge University, UK; Prof Bruno Torresani of INRIA, France; Prof Victor Wickerhauser of Washington University, USA, Prof Ning Zhong of the Maebashi Institute of Technology, Japan; Prof John Yen of Pennsylvania State University, USA; and Prof Sankar K Pal of the Indian Statistical Institute, India. Contents: Volume 1: Keynote PresentationsTheoretical ResearchAlgorithm and ConstructionImage Processing and CompressionSignal Processing and CommunicationSystems and Applications Volume 2: Keynote PresentationsTheory and AlgorithmAgent and Multi-Agent SystemActive Computer Systems and InterfacesMulti-Modal Processing, Detection, Recognition and ExpressingPersonalized, Pervasive System and InterfaceSystems and Applications Readership: Graduate students, academics, researchers, and practitioners in the areas of pattern/handwriting recognition, image analysis, computer vision and networking.Keywords:Wavelet Analysis;Image Processing;Signal Processing;Communications;Algorithms and Constructions;Intelligent Agent Technology;Multi-Agent Technology;Multi-Agent Systems;Multi-Modal Processing;Detection