Signal Processing

PUBLISHED


Viewing: 1 - 10 of 184
Published:
July 25, 2014
Author(s):
Feng Wu
Visual information is one of the richest and most bandwidth-consuming modes of communication. To meet the requirements of emerging applications, powerful data compression and transmission techniques are required to achieve highly efficient communication, even in the presence of growing 
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Published:
July 08, 2014
Author(s):
Prem K. Kythe
A Complete Treatment of Current Research Topics in Fourier Transforms and Sinusoids Sinusoids: Theory and Technological Applications explains how sinusoids and Fourier transforms are used in a variety of application areas, including signal processing, GPS, optics, x-ray crystallography, 
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Published:
March 18, 2014
Author(s):
Oktay Alkin
Drawing on the author’s 25+ years of teaching experience, Signals and Systems: A MATLAB® Integrated Approach presents a novel and comprehensive approach to understanding signals and systems theory. Many texts use MATLAB® as a computational tool, but Alkin’s text employs MATLAB both computationally 
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Published:
February 18, 2014
Editor(s):
Lars Torsten Berger, Andreas Schwager, Pascal Pagani, Daniel Schneider
One of the first publications of its kind in the exciting field of multiple input multiple output (MIMO) power line communications (PLC), MIMO Power Line Communications: Narrow and Broadband Standards, EMC, and Advanced Processing contains contributions from experts in industry and academia, making 
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Published:
December 11, 2013
Author(s):
Haiping Lu, Konstantinos N. Plataniotis, Anastasios Venetsanopoulos
Due to advances in sensor, storage, and networking technologies, data is being generated on a daily basis at an ever-increasing pace in a wide range of applications, including cloud computing, mobile Internet, and medical imaging. This large multidimensional data requires more efficient 
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Published:
October 25, 2013
Editor(s):
Marcio Eisencraft, Romis Attux, Ricardo Suyama
Chaotic Signals in Digital Communications combines fundamental background knowledge with state-of-the-art methods for using chaotic signals and systems in digital communications. The book builds a bridge between theoretical works and practical implementation to help researchers attain consistent 
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Published:
October 21, 2013
Author(s):
K. M. M. Prabhu
Window functions—otherwise known as weighting functions, tapering functions, or apodization functions—are mathematical functions that are zero-valued outside the chosen interval. They are well established as a vital part of digital signal processing. Window Functions and their Applications in 
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Published:
August 19, 2013
Author(s):
Péter Baranyi, Yeung Yam, Péter Várlaki
Tensor Product Model Transformation in Polytopic Model-Based Control offers a new perspective of control system design. Instead of relying solely on the formulation of more effective LMIs, which is the widely adopted approach in existing LMI-related studies, this cutting-edge book calls for a 
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Published:
July 18, 2013
Author(s):
Ta-Hsin Li
Time series with mixed spectra are characterized by hidden periodic components buried in random noise. Despite strong interest in the statistical and signal processing communities, no book offers a comprehensive and up-to-date treatment of the subject. Filling this void, Time Series with Mixed 
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Published:
May 22, 2013
Author(s):
Wen-Qin Wang
Synthetic aperture radar (SAR) is a well-known remote sensing technique, but conventional single-antenna SAR is inherently limited by the minimum antenna area constraint. Although there are still technical issues to overcome, multi-antenna SAR offers many benefits, from improved system gain to 
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