Signal Processing

PUBLISHED


Viewing: 1 - 10 of 187
Published:
September 26, 2014
Author(s):
Alexander D. Poularikas
Adaptive filters are used in many diverse applications, appearing in everything from military instruments to cellphones and home appliances. Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB® covers the core concepts of this important field, focusing on a vital part of the 
Published:
August 12, 2014
Author(s):
Takao Kuroda
Providing a succinct introduction to the systemization, noise sources, and signal processes of image sensor technology, Essential Principles of Image Sensors discusses image information and its four factors: space, light intensity, wavelength, and time. Featuring clarifying and insightful 
Published:
August 07, 2014
Editor(s):
Moeness Amin
With the emergence of compressive sensing and sparse signal reconstruction, approaches to urban radar have shifted toward relaxed constraints on signal sampling schemes in time and space, and to effectively address logistic difficulties in data acquisition. Traditionally, these challenges have 
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 
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, 
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 
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 
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 
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 
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