The last ten years have seen a great flowering of the theory of digital data modulation. This book is a treatise on digital modulation theory, with an emphasis on these more recent innovations. It has its origins in a collabor ation among the authors that began in 1977. At that time it seemed odd to us that the subjects of error-correcting codes and data modulation were so separated; it seemed also that not enough understanding underlay the mostly ad hoc approaches to data transmission. A great many others were intrigued, too, and the result was a large body of new work that makes up most of...

Understanding Information Transmission introduces you to the entire field of information technology. In this consumer handbook and introductory student resource, seven chapters span the gamut of the field--the nature, storage, transmission, networking, and protection of information. In addition to the science and technology, this book brings the subject alive by presenting the amazing history of information technology, profiling incredible inventions and fascinating inventors, and their dramatic impact on society. Features include problem sets, key points, suggested reading, review...

oW should coded communication be approached? Is it about prob H ability theorems and bounds, or about algorithms and structures? The traditional course in information theory and coding teaches these together in one course in which the Shannon theory, a probabilistic the ory of information, dominates. The theory's predictions and bounds to performance are valuable to the coding engineer, but coding today is mostly about structures and algorithms and their size, speed and error performance. While coding has a theoretical basis, it has a practical side as well, an engineering side in which costs...