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Advances in Audio Watermarking Based on Matrix Decomposition

This book introduces audio watermarking methods in transform domain based on matrix decomposition for copyright protection. Chapter 1;

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Advances in Audio Watermarking Based on Singular Value Decomposition

This book introduces audio watermarking methods for copyright protection, which has drawn extensive attention for securing digital data;

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Digital Audio Watermarking

This book offers comprehensive coverage on the most important aspects of audio watermarking, from classic techniques to the latest advances;

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Advanced Techniques for Audio Watermarking

This book provides information on digital audio watermarking, its applications, and its evaluation for copyright protection of audio;

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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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Fundamentals of Matrix Computations

decomposition based on adaptive over-complete dictionary, lower bounds for the low-rank matrix approximation and a semi-smoothing augmented lagrange;

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Audio Watermark

This book illustrates the commonly used and novel approaches of audio watermarking for copyrights protection. The author examines the;

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Application of Binary Image in Digital Audio Watermarking

, this information is extracted to identify the rightful owner. Digital audio watermarking involves the concealment of data within a discrete;

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Robust and Secured Digital Audio Watermarking

This book discusses digital audio watermarking copyright assurance. The author first outlines the topic of watermarking data that can be;

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Linear Algebra, Matrix Theory and Applications

Linear Algebra, Matrix Theory and Applications gives insights into the various aspects related to the matrices including the concepts on;

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Synthesis of Quantum Circuits vs. Synthesis of Classical Reversible Circuits

computation. Whereas an arbitrary quantum circuit, acting on w qubits, is described by an n x n unitary matrix with n=2w, a reversible classical;

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Computation of Generalized Matrix Inverses and Applications

are based on LDL* and QDR decompositions of the matrix. A method for calculating the A(2)T;S inverse using LDL* decomposition using methods;

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Computation of Generalized Matrix Inverses and Applications

introduced, along with numerical examples. Methods for calculating the Moore-Penrose's inverse of rational matrix are presented, which are based on;

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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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Digital Watermarking and Steganography

This book intends to provide a comprehensive overview on different aspects of mechanisms and techniques for information security. It;

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Digital Watermarking and Steganography

This book intends to provide a comprehensive overview on different aspects of mechanisms and techniques for information security. It;

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Intelligent Multimedia Data Hiding

information hiding techniques. It includes multimedia representation, digital watermarking fundamentals and requirements of watermarking. It moves on;

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Intelligent Watermarking Using Loss Less Compression and RSA Encryption

to reduce the size of the watermarked image. Basically we have proposed intelligent and robust image watermarking based on Particle Swarm;

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Audio Source Separation

This book provides the first comprehensive overview of the fascinating topic of audio source separation based on non-negative matrix;

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Matrix Algebra for Linear Models

allowing for a side-by-side presentation of matrix theory and its linear model applications. Including concise summaries on each topic, the book;

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Handbook of Robust Low-Rank and Sparse Matrix Decomposition

Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing shows you how robust subspace;

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Multiscale Forecasting Models

methods are based on Singular Value Decomposition (SVD) of a Hankel matrix (HSVD). The proposed decomposition is used to improve the accuracy;

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Multiscale Forecasting Models

methods are based on Singular Value Decomposition (SVD) of a Hankel matrix (HSVD). The proposed decomposition is used to improve the accuracy;

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Metal-Matrix Composites

microstructural advances. Topics include but are not limited to: * Metals and metal-matrix composites * Nano-metal based;

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Reversible Digital Watermarking

research on reversible watermarking using a couple of case studies with medical and military images. We present a detailed review of the state;

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Digital Image Watermarking

Reviews hardware implementation of watermarking Discusses optimization problems and solutions in watermarking with a special focus on bio-inspired;

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Digital Image Watermarking

Reviews hardware implementation of watermarking Discusses optimization problems and solutions in watermarking with a special focus on bio;

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