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- W2140485720 abstract "In coding theory, generally, we come across the problem of efficient coding of messages to be sent over a noiseless channel and attempt to maximize the number of messages that can be sent through a channel in a given time. Therefore, we find the minimum value of a mean codeword length subject to a given constraint on codeword lengths. As the codeword lengths are integers, the minimum value lies between two bounds, so, a noiseless coding theorem seeks to find these bounds for a given mean and a given constraint. In this paper, we are modifying the noiseless coding theorem as obtained by Bilal and Pirzada (2006) for binary, as well as D size 1:1 codes. The coding theorem as obtained by us is less constrained. Key words: Quantitative-qualitative measure, inaccuracy, noiseless coding theorem." @default.
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- W2140485720 date "2011-03-31" @default.
- W2140485720 modified "2023-09-25" @default.
- W2140485720 title "On best 1:1 codes for generalized quantitative- qualitative measure of inaccuracy" @default.
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- W2140485720 doi "https://doi.org/10.5897/ajmcsr.9000090" @default.
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