Lossless compression schemes for ECG signals using neural network predictors

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Lossless compression schemes for ECG signals using neural network predictors

This paper presents lossless compression schemes for ECG signals based on neural network predictors and entropy encoders. Decorrelation is achieved by nonlinear prediction in the first stage and encoding of the residues is done by using lossless entropy encoders in the second stage. Different types...

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Bibliographic Details
Main Authors:	Kannan, R., Eswaran, C.
Format:	Article
Language:	English
Published:	Springer 2007
Subjects:	T Technology (General) QA75.5-76.95 Electronic computers. Computer science
Online Access:	http://shdl.mmu.edu.my/3165/ http://shdl.mmu.edu.my/3165/1/Lossless%20compression%20schemes%20for%20ECG%20signals%20using%20neural%20network%20predictors.pdf

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