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Advances in Visual Data Compression and Communication
book

Advances in Visual Data Compression and Communication

by Feng Wu
July 2014
Intermediate to advanced content levelIntermediate to advanced
513 pages
16h 40m
English
Auerbach Publications
Content preview from Advances in Visual Data Compression and Communication
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400 18 MIMO Broadcasting with Receiver Antenna Heterogeneity
Multimedia coding via compressive sensing has three desirable properties that
motivate its emerging application in wireless transmission. First, the generated mea-
surements are democratic, which ensures that the transmitted measurement symbols
have equal importance [468]. Second, for a compressible source that is not strictly
sparse, CS recovery performance scales with the number of available measurements
when they have similar noise levels [460,469]. Third, the lower the noise level of the
received measurements, the better the CS decoding performance [470]. These prop-
erties illustrate that multimedia transmission based on compressive sensing could
achieve fine-grained quality
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Publisher Resources

ISBN: 9781482234138