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» Polar codes are optimal for lossy source coding
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DCC
2006
IEEE
14 years 7 months ago
Joint Source-Channel Decoding of Multiple Description Quantized Markov Sequences
This paper proposes a framework for joint source-channel decoding of Markov sequences that are coded by a fixed-rate multiple description quantizer (MDQ), and transmitted via a lo...
Xiaolin Wu, Xiaohan Wang
ICC
2007
IEEE
110views Communications» more  ICC 2007»
14 years 2 months ago
Joint Source and Channel Coding for Image Transmission over Time Varying Channels
—In this paper, the joint source and channel coding for progressive image transmission over channels with varying SNR is considered. Since the feedback of channel status informat...
Lei Cao
PASTE
1998
ACM
13 years 12 months ago
OPTVIEW: A New Approach for Examining Optimized Code
The task of mappingbetween source programs and machine code, once the code has been optimizedand transformed by a compiler is often di cult. Yet there are many instances, such as ...
Caroline Tice, Susan L. Graham
MSWIM
2005
ACM
14 years 1 months ago
Trade-offs in bit-rate allocation for wireless video streaming
One of the central problems in video transmission over lossy channels is the choice of source and channel coding rates to allocate the available transmission rate optimally. In th...
Vladimir Vukadinovic, Gunnar Karlsson
ICIP
2005
IEEE
14 years 9 months ago
JPEG 2000 scalar quantization using an optimally frequency localized modulated lapped transform
JPEG 2000 is a lossy integer-to-integer transform-based compression method that first quantizes the separable 2-D wavelet transform coefficients, then entropy codes them. The imag...
Peter C. Tay, Joseph P. Havlicek