Methods for compression of multivariate correlated data for multi-channel communication
AssigneesUniversity of Cyprus, Van Schuppen Control Research
InventorsJan H. van Schuppen, Charalambos D. Charalambous
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AssigneesUniversity of Cyprus, Van Schuppen Control Research
InventorsJan H. van Schuppen, Charalambos D. Charalambous
Estimating the term…
Methods are provided for efficiently encoding and decoding multivariate correlated data sequences for transmission over multiple channels of a network. The methods include transforming data vectors from correlated sources into vectors that comprise substantially independent and correlated components, and generating a common information vector based on the correlated components, and two private information vectors. The methods also include computing the amount of information, such as Wyner's lossy common information, in the common information vector, computing rates that lie on the Gray-Wyner rate region, and choosing compression rates based on the amount of common information. The methods may be applicable, in general, to a wide range of communications and/or storage systems and, particularly, to sensor networks and multi-user virtual environments for gaming and other applications.
A computer-implemented method of compressively encoding two correlated data vectors, the method comprising
A non-transitory computer-readable medium storing instructions for compressively encoding two correlated data vectors, wherein the instructions, when executed by one or more processors of a computing system, cause the one or more processors to:
Dependencies are inferred from the claim text.