Compression ratio boundaries for predictive signal compression
Copyright policy )Compression ratio boundaries for predictive signal compression
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.
- Health Sciences Centre Canada
- Louisiana State University United States
JPEG, Image processing (compression, reconstruction, etc.) in information and communication theory, Coding and information theory (compaction, compression, models of communication, encoding schemes, etc.) (aspects in computer science), Computing methodologies for image processing, DPCM
JPEG, Image processing (compression, reconstruction, etc.) in information and communication theory, Coding and information theory (compaction, compression, models of communication, encoding schemes, etc.) (aspects in computer science), Computing methodologies for image processing, DPCM
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).1 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!