Noiseless Coding Theorems Connected with Tuteja and Bhakers useful Inaccuracy Measure

Rayees Ahmad Dar

Noiseless Coding Theorems Connected with Tuteja and Bhakers useful Inaccuracy Measure

Rayees Ahmad Dar *

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Noiseless Coding Theorems Connected with Tuteja and Bhakers useful Inaccuracy Measure

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Abstract

A new measure, called average code word length of order and type has been defined and its relationship with a result of Tuteja and Bhaker ‘useful’ inaccuracy measure has been discussed. Using , some noiseless coding theorems for discrete noiseless channel has been proved. The results obtained in this paper generalizes some well known results available in the literature.

References

25 Cites in Article

Reference Format

C Arndt (2001). Information measure -information and its description in science and Engineering.
Ram Autar,Raminder Soni (1975). Inaccuracy and a coding theorem.
M Baig,Rayees Ahmad (2007). Some noiseless coding theorems of inaccuracy measure of order α and type β.
L Campbell (1965). A coding theorem and Renyi's entropy.
A Feinstein (2007). Levin, David Saul, (born 28 Jan. 1962), Chief Executive, McGraw-Hill Education, New York, since 2014.
S Guiasu,C Picard (1971). Borne inferieture dela Longuerur utile de certains codes.
Pessoa Gurdial,F (1977). On useful information of order α.
D Hooda,Keerti Upadhyay,D Sharma (1997). On Parametric Generalization of ‘Useful’ R-norm Information Measure.
Priti Jain,R Tuteja (1989). On coding theorem connected with ‘useful’ entropy of order‐<i>β</i>.
D Kerridge (1961). Inaccuracy and Inference.
B Khan,B Bhat,S Pirzda (2005). Some results on a generalized useful information measure.
S Kumar,R Kumar (2011). some noiseless coding theorem connected with Havrada and Charavat and Tsallis's entropy.
Satish Kumar (2009). Some more results on R-norm information measure.
Giuseppe Longo (1972). Quantitative — Qualitative Measure of Information.
Mc-Millan (1956). two inequalities implied by unique dechiperability.
S Pirzada,B Bhat (2006). Some more results in coding theory.
O Parkash,P Sharma (1997). Noiseless coding theorems corresponding to fuzzy entropies.
Rayees Ahmad,M Baig (2006). Coding Theorems on generalized cost measure.
L Roy (1976). Comparison of Rényi Entropies of Power Distributions.
C Shannon (1948). A Mathematical Theory of Communication.
B Sharma The mean value study quantities in information theory.
Shisha Oved (1967). Inequalities.
R Singh,Rajeev Kumar,R Tuteja (2003). Application of Holder’s inequality in information theory.
H Taneja,R Tuteja (1985). Characterization of Quantitative-Qualititative measure of inaccuracy.
R Tuteja,U Bhaker (1994). On characterization of some nonadditive measures of “useful” information.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Rayees Ahmad Dar. 2014. "Noiseless Coding Theorems Connected with Tuteja and Bhakers useful Inaccuracy Measure". Global Journal of Science Frontier Research - F: Mathematics & Decision GJSFR-F Volume 14 (GJSFR Volume 14 Issue F1).

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GJSFR Volume 14 Issue F1

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Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

Keywords

average code length holder’s inequality inaccuracy measure

Classification

GJSFR-F Classification AMS: 94A17

94A24

Submission ReceivedJanuary 17, 2014
Peer Review Double Blind
Handling Editor
Accepted February 13, 2014
Published February 25, 2014

Version of record

v1.2

Issue date

May 3, 2014

Language

English

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Article Matrices

Total Score: 145

Country: India

Subject: Global Journal of Science Frontier Research

Authors: Rayees Ahmad Dar (PhD/Dr. count: 0)

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Publish Date: 2014 02, Tue

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