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One of the dramatic developments in bandwidth-efficient communications over the past few years is the introduction and rapid applications of combined coding and bandwidth efficient modulation, known as coded modulation, for error control. Using coded modulation, reliable data transmission can be attained without compromising bandwidth efficiency. Presented here are the basic concepts of coded modulation. Two simple examples are used to demonstrate how significant coding gains can be achieved without bandwidth expansion. Lin, Shu Unspecified Center NAG5-931
This book addresses coding, a new solution to the major challenge of communicating more bits of information in the same radio spectrum. Explores concepts and new transmission methods that have arisen in the last 15 years Discusses the method of faster than Nyquist signaling Provides self-education resources by including design parameters and short MATLAB routines Bandwidth Efficient Coding takes a fresh look at classical information theory and introduces a different point of view for research and development engineers and graduate students in communication engineering and wireless communication.
The IDA can be implemented using Reed Solomon (RS) codes. Faster and more efficient codes can be used to implement IDA, but they are not currently implemented in hardware. The IDA can be used to design bandwidth-efficient FECC for a channel with burst noise. Our research presents the analysis, design, implementation, and testing of IDA. The IDA has been implemented in software using the RS codes. We compared its performance with that of TPC. Assuming a well-defined channel with long burst noise (i.e., many bit errors) and a large block size, we showed that if symbol-by-symbol reliability is not available (i.e., unable to detect burst noise boundaries), then IDA will perform better than TPC in terms of bit and block error rates. However, if symbol-by-symbol reliability is available, then IDA may perform as well as TPC in terms of block error rate, while TPC will always have a lower bit error rate.
The purpose of Error-Control Coding for Data Networks is to provide an accessible and comprehensive overview of the fundamental techniques and practical applications of the error-control coding needed by students and engineers. An additional purpose of the book is to acquaint the reader with the analytical techniques used to design an error-control coding system for many new applications in data networks. Error~control coding is a field in which elegant theory was motivated by practical problems so that it often leads to important useful advances. Claude Shannon in 1948 proved the existence of error-control codes that, under suitable conditions and at rates less than channel capacity, would transmit error-free information for all practical applications. The first practical binary codes were introduced by Richard Hamming and Marcel Golay from which the drama and excitement have infused researchers and engineers in digital communication and error-control coding for more than fifty years. Nowadays, error-control codes are being used in almost all modem digital electronic systems and data networks. Not only is coding equipment being implemented to increase the energy and bandwidth efficiency of communication systems, but coding also provides innovative solutions to many related data-networking problems.
During the period December 1, 1987 through May 31, 1988, progress was made in the following areas: construction of Multi-Dimensional Bandwidth Efficient Trellis Codes with MPSK modulation; performance analysis of Bandwidth Efficient Trellis Coded Modulation schemes; and performance analysis of Bandwidth Efficient Trellis Codes on Fading Channels. Costello, Daniel J., Jr. Unspecified Center CODING; CONTROL THEORY; ERRORS; INFORMATION THEORY; PERFORMANCE TESTS; SATELLITE COMMUNICATION; SIGNAL PROCESSING; SPACE COMMUNICATION; ALGORITHMS; MODULATION; SIGNAL FADING...
This new edition has been extensively revised to reflect the progress in error control coding over the past few years. Over 60% of the material has been completely reworked, and 30% of the material is original. Convolutional, turbo, and low density parity-check (LDPC) coding and polar codes in a unified framework Advanced research-related developments such as spatial coupling A focus on algorithmic and implementation aspects of error control coding