Compression ratio boundaries for predictive signal compression

Abstract

Predictive regressional models like DPCM are widely used in digital signal compression. This paper analyzes the relationship that exists between the predictive model fitness and the resultant reduction of the first-order signal entropy, and finds the lossless compression ratio C as a function of predictive model correlation rho.

DOI: 10.1109/83.902297

Cite this paper

@article{Pianykh2001CompressionRB, title={Compression ratio boundaries for predictive signal compression}, author={Oleg S. Pianykh and John M. Tyler}, journal={IEEE transactions on image processing : a publication of the IEEE Signal Processing Society}, year={2001}, volume={10 2}, pages={323-6} }