Overview

Signal processing is the analysis, interpretation, and manipulation of signals. Signals of interest include sound, images, biological signals such as ECG, radar signals, and many others. Processing of such signals includes storage and reconstruction, separation of information from noise (for example, aircraft identification by radar), compression (for example, image compression), and feature extraction (for example, speech-to-text conversion). This book presents the latest research in the field from around the world.

Full Product Details

Author:   Takumi Maeda
Publisher:   Nova Science Publishers Inc
Imprint:   Nova Science Publishers Inc
Weight:   1.284kg
ISBN:  

9781604564792

ISBN 10:   1604564792
Pages:   545
Publication Date:   05 March 2009
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock  
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

"Preface; Continuous Symmetrical Wavelets and Their Applications - Part I: The Mexican-hat Wavelet; Recent Advances in Image Analysis and Data Mining for DNA Microarray Processing}; Time-Varying Multirate Systems and Filter Banks; FIR Digital Filters Design Based on Hopfield Neural Networks; ""Non-Gaussian Adaptive Filtering""; Exploring the Link between Bolstered Classification Error and Dataset Complexity for Gene Expression Based Cancer Classification; Signal Processing in Multiple Sensors Distributed Detection Systems with Data Fusion; On Image Enhancement Using a Gaussian Transformation in Spatial Domain; A Hyperbolic Scatterer Distribution in Multi-Path Mobile Environment; EM Algorithm for Blind Channel Estimation and Data Detection with Noncoherent Receivers on Intersymbol Interference Communication Channels; A Solver Based on the Coding and Compressing of Solution Space with PSO for Sparse Solution of Linear Underdetermined System; Bistatic STAP for Ground Moving Target Indication; Advances in Nonnegative Matrix Factorization: Towards Uniqueness; The Empirical Mode Decomposition an Useful Tool for Signal Analysis; A DCT Based Image Restoration from a Blurred and Downsampled Image; Robust Estimation of Spatially Distributed Sources; Maximum Entropy Fuzzy Clustering for Maneuvering Target Tracking in a Cluttered Environment; Index."

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