Seventh International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'05) (2005)
Sept. 25, 2005 to Sept. 29, 2005
Ionuţ Popa , "Al. I. Cuza" University of Iaşi
In this paper we present a simple way to estimate probabilities of symbols occurring in a given sequence by considering the context where they appear. Every statistical adaptive compression method can use those estimation to encode a given sequence. The main goal is to find convenient estimation models which assign to every symbol in the sequence a probability as large as possible and still avoid decoding ambiguities. Beside the pragmatic purpose of data compression to make data storage and transmission more efficient, there is another interesting aspect of data compression. An efficient method to represent data is an intrinsic efficient method of information analysis and prediction.
I. Popa, "Data Compression Using Surrounding Contexts," Seventh International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'05)(SYNASC), Timisoara, Romania, 2005, pp. 165-167.