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Two-dimensional Signal Analysis

This title sets out to show that 2-D signal analysis has its own role to play alongside signal processing and image processing;

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Two-Dimensional Digital Filters

Presents basic theories, techniques, and procedures used to analyze, design, and implement two-dimensional filters; and surveys a number;

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High-dimensional Microarray Data Analysis

result is a 66-dimensional data. These signal data can be analyzed to find malignancy indicators by principal component analysis and cluster;

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A Unified Signal Algebra Approach to Two-Dimensional Parallel Digital Signal Processing

Aims to bridge the gap between parallel computer architectures and the creation of parallel digital signal processing (DSP) algorithms;

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High-dimensional Data Analysis

Over the last few years, significant developments have been taking place in high-dimensional data analysis, driven primarily by a wide;

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Modern Sampling Theory

expositions ranging from multi-dimensional signal analysis to wavelet transforms. The book is an essential up-to-date resource.;

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Special Integral Functions Used In Wireless Communications Theory

reception, for the two-dimensional multi-positional signal constructions in communications channel with deterministic parameters and additive white;

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Optimal and Adaptive Signal Processing

algorithm, applications of adaptive filtering, algorithms and structures for adaptive filtering, spectral analysis, and array signal processing;

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Optimal and Adaptive Signal Processing

algorithm, applications of adaptive filtering, algorithms and structures for adaptive filtering, spectral analysis, and array signal processing;

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First Course In Wavelets With Fourier Analysis

wavelets and two-dimensional wavelets The analysis of Haar, Shannon, and linear spline wavelets The general theory of multi-resolution analysis;

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Micro-Doppler Characteristics of Radar Targets

extraction techniques. The micro-Doppler effect is presented from two aspects, including micro-Doppler effect analysis and micro-Doppler feature;

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Dimensional Analysis and Similarity in Fluid Mechanics

Dimensional analysis is the basis for the determination of laws that allow the experimental results obtained on a model to be transposed to;

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Analysis of Random Walks

following topics: One- Dimensional Random Walks; Two-Dimensional Random Walks; the Two-Dimensional Workload Process; and the N-Dimensional Random;

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Advanced Digital Signal Processing and Noise Reduction

of statistical signal processing and noise reduction methods. * Two new chapters on MIMO systems, correlation and Eigen analysis and independent;

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Engineering Finite Element Analysis

problems. Moreover, the analysis processes are listed step-by-step for easy implementation, and an overview of two dimensional and three;

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Anisotropic Elasticity with Matlab

methods. It covers the elastic analysis of two-dimensional, plate bending, coupled stretching-bending, and three-dimensional deformations, and;

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Finite Element Programs in Structural Engineering and Continuum Mechanics

of two- and three-dimensional structures to stress analysis of thick slabs on elastic foundations, and from two- and three- dimensional vibration;

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High Dimensional Econometrics and Identification

name a few. In this book, High-Dimensional Econometrics and Identification, we illustrate the true signal and, hence, identification can be;

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Advances in Heuristic Signal Processing and Applications

There have been significant developments in the design and application of algorithms for both one-dimensional signal processing and;

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Denoising Audio Signal from Various Realistic Noise using Wavelet Transform

) towards denoising a one dimensional audio signal from common realistic noise. Moreover, the idea is to implement the audio signal denoising;

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Signals and Systems Using MATLAB

, new content on two-dimensional signal processing, and discussions on the state-of-the-art in signal processing. Introduces both;

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Digital Filters Design for Signal and Image Processing

Dealing with digital filtering methods for 1-D and 2-D signals, this book provides the theoretical background in signal processing;

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Strip-Method for Image and Signal Transformation

, of applying the two-dimensional strip-transformation for storage and noise immune transmission of images. The strip-transformation of images;

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New Directions in Function Theory: From Complex to Hypercomplex to Non-Commutative

de Branges spaces, new aspects of classical function theory, and infinite dimensional analysis. Signal processing constitutes a strong presence;

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Signal Processing with Free Software

files and elementary operations on signals and then presents the first tools to signal analysis such as temporal and frequency characteristics;

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Window Functions and Their Applications in Signal Processing

on the areas of digital spectral analysis, design of FIR filters, pulse compression radar, and speech signal processing. Comprehensively;

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Window Functions and Their Applications in Signal Processing

on the areas of digital spectral analysis, design of FIR filters, pulse compression radar, and speech signal processing. Comprehensively;

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