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Multiresolution Signal Decomposition

. In addition, it covers such "hot" areas as signal compression and coding, including particular decomposition techniques and tables listing;

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Brief Notes in Advanced DSP

the decomposition of the 1D signal by so-called section basis signals as well as new forms of 2D signal/image representation and decomposition;

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Applications of Wavelet Multiresolution Analysis

This work results from a selection of the contributions presented in the mini symposium Applications of Multiresolution Analysis with;

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Communication, Signal Processing & Information Technology

Signal Processing, Multiresolution Analysis, Wavelets, Smart Antennas, Adaptive Antennas, Theory and Practice of Signal Processing, Digital;

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Multiresolution Time Domain Scheme for Electromagnetic Engineering

topics and their application in time domain Maxwell solution techniques. These topics include concepts of signal space, the multiresolution;

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On Multi-Resolution Signal Decomposition Techniques

Signals play an important role in our day-to-day life. We frequently come across signals carrying information in the shape of speech, music;

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Signal and Image Multiresolution Analysis

Multiresolution analysis using the wavelet transform has received considerable attention in recent years by researchers in various fields;

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Denoising Audio Signal from Various Realistic Noise using Wavelet Transform

based on choice of wavelet transform over Fourier transform. Likewise, for the different level of decomposition, signal to noise (SNR) will be;

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Advanced Signal Processing

any online entitlements included with the product. A no-nonsense guide to the fundamentals and applications of statistical signal;

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Signal and Image Representation in Combined Spaces

This volume explains how the recent advances in wavelet analysis provide new means for multiresolution analysis and describes its wide;

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Discrete Fourier & Wavelet Transforms

and wavelet transforms using elementary linear algebra, without assuming prior knowledge of signal processing or advanced analysis.It explains;

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Discrete Fourier and Wavelet Transforms

and wavelet transforms using elementary linear algebra, without assuming prior knowledge of signal processing or advanced analysis.It explains;

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Singular Spectrum Analysis of Biomedical Signals

relatively newly applied concepts for biomedical applications of SSA, including: Signal source separation, extraction, decomposition;

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Singular Spectrum Analysis of Biomedical Signals

relatively newly applied concepts for biomedical applications of SSA, including: Signal source separation, extraction, decomposition;

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Wavelet Analysis and Its Applications: An Introduction

of wavelet followed by applications lucidly. While dealing with one dimension signals, sometimes they are required to be oversampled. A novel;

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Intelligent Wavelet Based Techniques for Advanced Multimedia Applications

recognition, etc. Wavelets are well capable of analyzing signal, image and video at different resolution levels, popularly known as multiresolution;

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Intelligent Wavelet Based Techniques for Advanced Multimedia Applications

recognition, etc. Wavelets are well capable of analyzing signal, image and video at different resolution levels, popularly known as multiresolution;

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Mathematical Aspects of Signal Processing

Written using clear and accessible language, this text provides detailed coverage of the core mathematical concepts underpinning signal;

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Color Image Watermarking

This book presents watermarking algorithms derived from signal processing methods such as wavelet transform, matrix decomposition and;

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Wavelet Analysis and Multiresolution Methods

This volume contains papers selected from the Wavelet Analysis and Multiresolution Methods Session of the AMS meeting held at the;

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Wavelet Analysis and Multiresolution Methods

This volume contains papers selected from the Wavelet Analysis and Multiresolution Methods Session of the AMS meeting held at the;

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Multiscale And Multiresolution Approaches In Turbulence

This unique book gives a general unified presentation of the use of the multiscalemultiresolution approaches in the field of turbulence;

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Signal and Image Processing for Remote Sensing

for refocusing moving targets in SAR images Empirical mode decomposition for signal processing Feature extraction for classification;

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Surface Electromyography

Reflects on developments in noninvasive electromyography, and includes advances and applications in signal detection, processing and;

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Advances in Signal Processing for Nondestructive Evaluation of Materials

instance. The complexity of the inspection task and either large or limited lot runs now require more operator-assisted or fully automated signal;

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Sparse Image and Signal Processing

regularization, sparse signal decomposition, blind source separation, and compressed sensing. This book weds theory and practice in examining;

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Multiresolution Frequency Domain Technique for Electromagnetics

. The proposed method, called the multiresolution frequency domain (MRFD) technique, is based on orthogonal Battle-Lemarie and biorthogonal;

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