Convolutional-Block Coding in Channels with Decision Feedback

The article describes a method of transmitting information over channels with decision feedback, based on combined use of block and convolutional coding principles. A bound is obtained for the decoding error probability as a function of the length of the code constraint and the transmission rate. It is shown that the error probability decreases exponentially as the complexity of implementation of encoding and decoding increases linearly.