Title :
An easily implementable universal code for the binary source (Corresp.)
fDate :
7/1/1982 12:00:00 AM
Abstract :
Recently Gallager has given the construction for an optimal source code for geometrically distributed integer alphabets. Gallager´s code can be modified to perform as a universal code for the memoryless binary source; this code construction has several important practical advantages over previous universal codes for the binary source.
Keywords :
Source coding; Adaptive filters; Convergence; Least squares methods; Linear regression; Parameter estimation; Signal processing; Signal processing algorithms; Silicon compounds; Stochastic processes; System identification;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.1982.1056533
