Source-channel coding strategies: tandem coding vs. channel-optimized quantization

Two source-channel coding strategies, tandem coding and channel-optimized quantization, are compared on the basis of distortion vs. complexity. For each, formulas for the mean-squared error and complexity used to minimize distortion subject to a complexity constraint. The results suggest there is a...

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Vydáno v:Information Theory: 2000 IEEE International Symposium On s. 237
Hlavní autoři: Lim, J., Neuhoff, D.L.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 2000
Témata:
Bit rate
Channel coding
Decoding
Delay
Distortion measurement
Entropy coding
Gaussian channels
Karhunen-Loeve transforms
Quantization
Reed-Solomon codes
ISBN:9780780358577, 0780358570
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Shrnutí:Two source-channel coding strategies, tandem coding and channel-optimized quantization, are compared on the basis of distortion vs. complexity. For each, formulas for the mean-squared error and complexity used to minimize distortion subject to a complexity constraint. The results suggest there is a threshold such that tandem coding is better than channel-optimized quantization when and only when the complexity constraint is larger than the threshold.
ISBN:9780780358577
0780358570
DOI:10.1109/ISIT.2000.866535