2017, Vol. 2, Issue 3, Part A
Generalized information measure and some source coding theorems
Author(s): Dhanesh Garg
Abstract: A new measure
called generalized information measure is defined and its relationship with a new mean codeword length is discussed. Consequently two noiseless coding theorems subject to Kraft’s inequality have been proved. Further, we have shown that the mean codeword length
for the best one-to-one code (not necessarily uniquely decodable) are shorter than the mean codeword length
for the best uniquely decodable code by no more than
for D=2.
Pages: 28-36 | Views: 1367 | Downloads: 10Download Full Article: Click Here
How to cite this article:
Dhanesh Garg. Generalized information measure and some source coding theorems. Int J Stat Appl Math 2017;2(3):28-36.