Chaotic Signals in Digital Communications
Advanced Signal Processing: Theory and Implementation for Sonar, Radar, and Non-Invasive Medical Diagnostic Systems, Second Edition
Signals and Systems Primer with MATLAB
Medical Image Analysis Methods
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...
June 16, 2017
Discover the Applicability, Benefits, and Potential of New Technologies As advances in algorithms and computer technology have bolstered the digital signal processing capabilities of real-time sonar, radar, and non-invasive medical diagnostics systems, cutting-edge military and defense research...
Samuel D. Stearns, Donald R. Hush
April 04, 2011
Based on fundamental principles from mathematics, linear systems, and signal analysis, digital signal processing (DSP) algorithms are useful for extracting information from signals collected all around us. Combined with today’s powerful computing capabilities, they can be used in a wide range of...
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...
Martin Liggins II, David Hall, James Llinas
September 26, 2008
In the years since the bestselling first edition, fusion research and applications have adapted to service-oriented architectures and pushed the boundaries of situational modeling in human behavior, expanding into fields such as chemical and biological sensing, crisis management, and intelligent...
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...
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...
July 13, 2005
To successfully detect and diagnose disease, it is vital for medical diagnosticians to properly apply the latest medical imaging technologies. It is a worrisome reality that due to either the nature or volume of some of the images provided, early or obscured signs of disease can go undetected or be...
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...
Apostolis K. Salkintzis
April 13, 2004
Consumers want it, businesses are demanding it. The migration of Internet services to a mobile environment is inevitable. But while the ability to be on the go and connected to the Internet sets the stage for increased efficiency and productivity, many technical challenges associated with user...
Lal Chand Godara
January 27, 2004
The use of smart antennas to increase mobile communications channels has re-ignited research and development in the field. Practicing engineers are eager to discover more about this subject, and need a comprehensive book that can provide a learning platform and prevent the loss of time spent on...
Kenneth E. Barner, Gonzalo R. Arce
November 24, 2003
Nonlinear signal and image processing methods are fast emerging as an alternative to established linear methods for meeting the challenges of increasingly sophisticated applications. Advances in computing performance and nonlinear theory are making nonlinear techniques not only viable, but...