STCD: Models and Algorithms for Spatially and Temporally Correlated Data
نویسنده
چکیده
Correlated data is a hot topic in many research fields. In fact, compression, detection, estimation, and transmission of correlated data arise in many practical applications, e.g., environmental monitoring, communication systems, image processing, etc. Identifying and properly managing such correlations may be important, especially when a very large amount of data, yet compressible, must be transmitted across the network. The aim of this special track is to collect the most recent advances in modeling and algorithm design for compression, detection, and transmission of spatially and temporally correlated data in various application domains.
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