Joint Source-Channel Coding at the Application Layer for Parallel Gaussian Sources
classification
💻 cs.IT
math.IT
keywords
jointsource-channelbinarychannelcodingconvexdifferentembedded
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In this paper the multicasting of independent parallel Gaussian sources over a binary erasure broadcasted channel is considered. Multiresolution embedded quantizer and layered joint source-channel coding schemes are used in order to serve simultaneously several users at different channel capacities. The convex nature of the rate-distortion function, computed by means of reverse water-filling, allows us to solve relevant convex optimization problems corresponding to different performance criteria. Then, layered joint source-channel codes are constructed based on the concatenation of embedded scalar quantizers with binary rateless encoders.
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