Joint Source Channel Coding Using Arithmetic Codes

Discover the innovative approach to data transmission in "Joint Source Channel Coding Using Arithmetic Codes" by Bi Dongsheng, published by Springer International Publishing AG in 2009. This insightful paperback spans 69 pages and delves into the intricacies of arithmetic codes, presenting them as tree codes based on the encoding process. The author explores current decoding proposals that incorporate forbidden symbols, focusing on sequential decoding algorithms and their variations. Additionally, the book introduces a novel concept of arithmetic codes with memories, which utilize high memory yet maintain low implementation precision. This work is essential for researchers and practitioners interested in advanced coding techniques and data communication. Enhance your understanding of source-channel coding with this comprehensive guide.