Compressibility Measures for Affinely Singular Random Vectors

The notion of compressibility of a random measure is a rather general concept which find applications in many contexts from data compression, to signal quantization, and parameter estimation. While compressibility for discrete and continuous measures is generally well understood, the case of discret...

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Veröffentlicht in:	IEEE transactions on information theory 2022-09, Vol.68 (9), p.6245-6275
Hauptverfasser:	Charusaie, Mohammad-Amin, Amini, Arash, Rini, Stefano
Format:	Artikel
Sprache:	eng
Schlagworte:	Compressibility Continuity (mathematics) Data compression Discrete-continuous random variables Distortion Distortion measurement Entropy Evaluation Independent variables information dimension Linear transformations Mathematical analysis moving-average processes Parameter estimation Random variables Rate-distortion rate-distortion function Resource description framework Singularity (mathematics) Upper bounds White noise
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