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SVD and Signal Processing, III

SVD and Signal Processing, III
Author: M. Moonen
Publisher: Elsevier
Total Pages: 499
Release: 1995-03-16
Genre: Technology & Engineering
ISBN: 0080542158
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Matrix Singular Value Decomposition (SVD) and its application to problems in signal processing is explored in this book. The papers discuss algorithms and implementation architectures for computing the SVD, as well as a variety of applications such as systems and signal modeling and detection. The publication presents a number of keynote papers, highlighting recent developments in the field, namely large scale SVD applications, isospectral matrix flows, Riemannian SVD and consistent signal reconstruction. It also features a translation of a historical paper by Eugenio Beltrami, containing one of the earliest published discussions of the SVD. With contributions sourced from internationally recognised scientists, the book will be of specific interest to all researchers and students involved in the SVD and signal processing field.

SVD and Signal Processing

SVD and Signal Processing
Author: Marc Moonen
Publisher:
Total Pages:
Release: 1995
Genre:
ISBN:
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SVD and Signal Processing

SVD and Signal Processing
Author: Marc Moonen
Publisher:
Total Pages: 512
Release: 1988
Genre: Decomposition (Mathematics)
ISBN: 9780444888969
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SVD and Signal Processing, II

SVD and Signal Processing, II
Author: Richard J. Vaccaro
Publisher: Elsevier Publishing Company
Total Pages: 534
Release: 1991
Genre: Mathematics
ISBN:
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This volume is an outgrowth of the 2nd International Workshop on SVD and Signal Processing which was held in Kingston, Rhode Island, 25-27 June, 1990. The singular value decomposition (SVD) has been applied to signal processing problems since the late 1970's, although it has been known in various forms for over 100 years. SVD filtering has been shown to give better results at lower signal-to-noise ratios than classical techniques based on linear filtering. This explains in part the recent interest in SVD techniques for signal processing. This book is a compilation of papers that examine in detail the singular decomposition of a matrix and its application to problems in signal processing. Algorithms and implementation architectures for computing the SVD are discussed, and analysis techniques for predicting and understanding the performance of SVD-based algorithms are given. The volume will provide both a stimulus for future research in this field as well as useful reference material for many years to come.

Signal and Image Processing for Remote Sensing

Signal and Image Processing for Remote Sensing
Author: C.H. Chen
Publisher: CRC Press
Total Pages: 712
Release: 2006-10-09
Genre: Technology & Engineering
ISBN: 9780849350917
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Most data from satellites are in image form, thus most books in the remote sensing field deal exclusively with image processing. However, signal processing can contribute significantly in extracting information from the remotely sensed waveforms or time series data. Pioneering the combination of the two processes, Signal and Image Processing for Remote Sensing provides a balance between the role of signal processing and image processing in remote sensing. Featuring contributions from worldwide experts, this book emphasizes mathematical approaches. Divided into two parts, Part I examines signal processing for remote sensing and Part II explores image processing. Not limited to the problems with data from satellite sensors, the book considers other sensors which acquire data remotely, including signals and images from infrasound, seismic, microwave, and satellite sensors. It covers a broader scope of issues in remote sensing information processing than other books in this area. With rapid technological advances, the mathematical techniques provided will far outlast the sensor, software and hardware technologies. Focusing on methodologies of signal processing and image processing in remote sensing, this book discusses unique techniques for dealing with remote sensing problems.

Wireless, Networking, Radar, Sensor Array Processing, and Nonlinear Signal Processing

Wireless, Networking, Radar, Sensor Array Processing, and Nonlinear Signal Processing
Author: Vijay Madisetti
Publisher: CRC Press
Total Pages: 874
Release: 2018-09-03
Genre: Technology & Engineering
ISBN: 1420046055
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Now available in a three-volume set, this updated and expanded edition of the bestselling The Digital Signal Processing Handbook continues to provide the engineering community with authoritative coverage of the fundamental and specialized aspects of information-bearing signals in digital form. Encompassing essential background material, technical details, standards, and software, the second edition reflects cutting-edge information on signal processing algorithms and protocols related to speech, audio, multimedia, and video processing technology associated with standards ranging from WiMax to MP3 audio, low-power/high-performance DSPs, color image processing, and chips on video. Drawing on the experience of leading engineers, researchers, and scholars, the three-volume set contains 29 new chapters that address multimedia and Internet technologies, tomography, radar systems, architecture, standards, and future applications in speech, acoustics, video, radar, and telecommunications. This volume, Wireless, Networking, Radar, Sensor Array Processing, and Nonlinear Signal Processing, provides complete coverage of the foundations of signal processing related to wireless, radar, space–time coding, and mobile communications, together with associated applications to networking, storage, and communications.