Signal Processing Noise
Applications in Time-Frequency Signal Processing
Handbook of Antennas in Wireless Communications
Handbook of Neural Network Signal Processing
Noise Reduction in Speech Applications
Signals and Systems Primer with MATLAB
The Transform and Data Compression Handbook
Chaotic Signals in Digital Communications
By Mohamed Ibnkahla
October 15, 2008
The widespread use of adaptation techniques has helped to meet the increased demand for new applications. From adaptive signal processing to cross layer design, Adaptation in Wireless Communications covers all aspects of adaptation in wireless communications in a two-volume set. Each volume ...
By Matthew N.O. Sadiku
January 18, 2002
Optical and wireless technologies are being introduced into the global communications infrastructure at an astonishing pace. Both are revolutionizing the industry and will undoubtedly dominate its future, yet in the crowded curricula in most electrical engineering programs, there is no room in ...
By Vyacheslav Tuzlukov
April 29, 2002
Additive and multiplicative noise in the information signal can significantly limit the potential of complex signal processing systems, especially when those systems use signals with complex phase structure. During the last few years this problem has been the focus of much research, and its ...
Edited By Antonia Papandreou-Suppappola
October 29, 2002
Because most real-world signals, including speech, sonar, communication, and biological signals, are non-stationary, traditional signal analysis tools such as Fourier transforms are of limited use because they do not provide easily accessible information about the localization of a given frequency ...
Edited By Lal Chand Godara
August 16, 2001
The move toward worldwide wireless communications continues at a remarkable pace, and the antenna element of the technology is crucial to its success. With contributions from more than 30 international experts, the Handbook of Antennas in Wireless Communications brings together all of the latest ...
Edited By Yu Hen Hu, Jenq-Neng Hwang
September 21, 2001
The use of neural networks is permeating every area of signal processing. They can provide powerful means for solving many problems, especially in nonlinear, real-time, adaptive, and blind signal processing. The Handbook of Neural Network Signal Processing brings together applications that were ...
Edited By George Tsoulos
March 28, 2006
For broadband communications, it was frequency division multiplexing. For optical communications, it was wavelength division multiplexing. Then, for all types of networks it was code division. Breakthroughs in transmission speed were made possible by these developments, heralding next-generation ...
Edited By Gillian M. Davis
April 18, 2002
Noise and distortion that degrade the quality of speech signals can come from any number of sources. The technology and techniques for dealing with noise are almost as numerous, but it is only recently, with the development of inexpensive digital signal processing hardware, that the implementation ...
By Vyacheslav Tuzlukov
November 29, 2004
Classical and modern theories have given us a degree of noise immunity by defining the sufficient statistic of the mean of the likelihood function. The generalized theory moves beyond these limitations to determine the jointly sufficient statistics of the mean and variance of the likelihood ...
By Alexander D. Poularikas
December 21, 2006
Signals and Systems Primer with MATLAB® equally emphasizes the fundamentals of both analog and digital signals and systems. To ensure insight into the basic concepts and methods, the text presents a variety of examples that illustrate a wide range of applications, from microelectromechanical to ...
Edited By Kamisetty Ramam Rao, Patrick C. Yip
September 27, 2000
Data compression is one of the main contributing factors in the explosive growth in information technology. Without it, a number of consumer and commercial products, such as DVD, videophone, digital camera, MP3, video-streaming and wireless PCS, would have been virtually impossible. Transforming ...
Edited By Marcio Eisencraft, Romis Attux, Ricardo Suyama
November 22, 2017
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 ...