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Denoising Audio Signal from Various Realistic Noise using Wavelet Transform

audio signal from realistic noise. Predominantly, the objective of this proposed research is to characterise discrete wavelet transform (DWT;

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Advanced Techniques for Audio Watermarking

protection of audio signals. These algorithms are implemented using hybridization of advanced signal processing transforms such as fast discrete;

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Wavelet Analysis

This book could be divided into two parts i.e. fundamental wavelet transform theory and method and some important applications of wavelet;

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Lung Sounds

in a joint time-frequency domain using short-time Fourier transform. Advanced signal processing techniques, however, have emerged in the last;

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Lung Sounds

in a joint time-frequency domain using short-time Fourier transform. Advanced signal processing techniques, however, have emerged in the last;

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Denoising of Photographic Images and Video

image quality. The book offers comprehensive coverage from problem formulation to the evaluation of denoising methods, from historical;

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Wavelets Processor

compression has been performed using Wavelet Transform as the tool. A new, better and much faster approach has been taken to Wavelet Transform;

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Discrete Wavelet Transform

the fundamentals of signal processing to the more advanced topics of DWT and Discrete Wavelet Packet Transform. * Written in a clear and;

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Wavelet Transform, The

This book contains many important new results on the theory of wavelet transform, such as its relations with Hilbert transform and other;

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Advances in Audio Watermarking Based on Singular Value Decomposition

from unauthorized copying. The book is divided into two parts. First, an audio watermarking method in discrete wavelet transform (DWT) and;

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Noise Reduction

noise reduction from different noise sources and allow for optical sensing of electric fields in harsh environments. Additionally, the signal;

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Ultra Low-Power Biomedical Signal Processing

Often WT systems employ the discrete wavelet transform, implemented on a digital signal processor. However, in ultra low-power applications;

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Advances in Audio Watermarking Based on Matrix Decomposition

method using fast Walsh Hadamard transform (FWHT) and singular value decomposition (SVD) for audio copyright protection. Chapter 3 presents a;

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A Wavelet Tour of Signal Processing

representations with Fourier, wavelet and time-frequency transforms, and the construction of orthogonal bases with fast algorithms. The central concept;

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Image Fusion Techniques for Remote Sensed Data

wavelet analysis method, with good signal processing and image processing traits and images is reconstructed by using discreet wavelet transform;

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Adapted Wavelet Analysis

implement special programs for signal analysis and other applications. From the table of contents: - Mathematical Preliminaries - Programming;

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Adapted Wavelet Analysis

implement special programs for signal analysis and other applications. From the table of contents: - Mathematical Preliminaries - Programming;

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Application of Signal Processing Tools and Artificial Neural Network in Diagnosis of Power System Faults

using wavelet transform and Stockwell transform This book is designed for engineering students and for practitioners. Readers will find;

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Multirate Digital Signal Processing

wavelet transform using filter banks, the construction of wavelets and examples of wavelet systems aeo A complete overview of current;

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Wavelet Basics

d'horizon of topics of current interest: wavelet packets and discrete time wavelet transforms, and concludes with applications in signal;

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Spline and Spline Wavelet Methods with Applications to Signal and Image Processing: Volume II

This book presents various contributions of splines to signal and image processing from a unified perspective that is based on the Zak;

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Introduction to Wavelet Transform: A Signal Processing Approach

INTRODUCTION TO WAVELET TRANSFORM: A Signal Processing Approach, has been developed in a simple, logical and directed way. To understand;

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Introduction to Random Signals and Noise

between useful signals in audio, video or communication equipment, and interference, which disturbs the desired signal. With a strong mathematical;

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Contextual Compression of Ultrasound Medical Images

compression algorithms viz. JPEG coding, Wavelet Transform coding, JPEG 2000 coding and the SPIHT coding algorithms have been implemented in the;

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Rail Crack Monitoring Using Acoustic Emission Technique

of laboratory and field tests, and analyzed by wavelet transform (WT) and synchrosqueezed wavelet transform (SWT). A wavelet power-based index and the;

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Wavelets in Physics

(in medicine and physiology) and mathematical physics. The wavelet transform can analyze scale-dependent characteristics of a signal (or image) locally;

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