Channel Coding in Communication Networks: From Theory to Turbo Codes (Digital Signal and Image Processing series)

Using information theory and fundamental theorems on source and channel coding, this book describes the basics of channel coding and advanced coding techniques known as turbo codes. A discussion of lock codes and convolutional codes, including input- and output-decoding algorithms and recursive-systematic convolutional codes, leads into coverage of trellis-coded modulations, which have primary applications in high-spectral efficiency transmissions. The book further distinguishes convolutional-turbo codes from block-turbo codes and presents coding and decoding principles for each family, concluding with the implementation of turbo codes in circuits.