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Title
Characterization of New Two Parametric Generalized Useful Information Measure
Author(s)
Ashiq Hussain BhatM. A. K. Baig
Publisher
한국과학기술정보연구원 과학기술정보센터
Korea Institute of Science and Technology Information
Publication Year
2016-12-30
Abstract
In this paper we define a two parametric new generalized useful average code-word length (P;U) and its relationship with two parametric new generalized useful information measure (P;U) has been discussed. The lower and upper bound of (P;U), in terms of (P;U) are derived for a discrete noiseless channel. The measures defined in this communication are not only new but some well known measures are the particular cases of our proposed measures that already exist in the literature of useful information theory. The noiseless coding theorems for discrete channel proved in this paper are verified by considering Huffman and Shannon-Fano coding schemes on taking empirical data. Also we study the monotonic behavior of (P;U) with respect to parameters and . The important properties of (P;U) have also been studied.
Keyword
Shannon's entropy; codeword length; useful information measure; Kraft inequality; Holder's inequality; Huffman codes; Shannon-Fano codes; Noiseless coding theorem
Journal Title
Journal of Information Science Theory and Practice
Citation Volume
4
ISSN
2287-4577
DOI
10.1633/JISTaP.2016.4.4.5
Files in This Item:
Thumbnail E1JSCH_2016_v4n4_64.pdf2.02 MBDownload
Appears in Collections:
8. KISTI 간행물 > JISTaP > Vol. 4 - No. 4
Type
Article
URI
https://repository.kisti.re.kr/handle/10580/9402
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