Rate-adaptive codes for distributed source coding
Signal Processing - Special section: Distributed source coding
Massive parallel LDPC decoding on GPU
Proceedings of the 13th ACM SIGPLAN Symposium on Principles and practice of parallel programming
Successive refinement for the Wyner-Ziv problem and layered code design
IEEE Transactions on Signal Processing - Part II
High efficient distributed video coding with parallelized design for cloud computing
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Real-time decoding for LDPC based distributed video coding
MM '11 Proceedings of the 19th ACM international conference on Multimedia
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Distributed video coding (DVC) is a new coding paradigm targeting applications with the need for low-complexity encoding at the cost of a higher decoding complexity. In the DVC architecture based on a feedback channel, the high decoding complexity is mainly due to the request-decode operation with repetitively fixed step size (induced by Slepian-Wolf decoding). In this paper, a parallel message-passing decoding algorithm for low density parity check (LDPC) syndrome is applied through Compute Unified Device Architecture (CUDA) based on General-Purpose Graphics Processing Unit (GPGPU). Furthermore, we propose an approach to reduce the number of requests dubbed as Ladder Request Step Size (LRSS) which leads to more speedup gain. Experimental results show that, through our work, significant speedup in decoding time is achieved with negligible loss in rate-distortion (RD) performance.