High-rate quantization and transform coding with side information at the decoder
Signal Processing - Special section: Distributed source coding
State estimation over packet dropping networks using multiple description coding
Automatica (Journal of IFAC)
Distributed quantization over noisy channels
IEEE Transactions on Communications
Distributed predictive coding for spatio-temporally correlated sources
IEEE Transactions on Signal Processing
On properties of locally optimal multiple description scalar quantizers with convex cells
IEEE Transactions on Information Theory
Robust distributed source coder design by deterministic annealing
IEEE Transactions on Signal Processing
Beamforming in wireless relay-interference networks with quantized feedback
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
On scalable distributed coding of correlated sources
IEEE Transactions on Signal Processing
N-channel asymmetric entropy-constrained multiple-description lattice vector quantization
IEEE Transactions on Information Theory
Error-resilient and complexity-constrained distributed coding for large scale sensor networks
Proceedings of the 11th international conference on Information Processing in Sensor Networks
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We present an algorithm for designing locally optimal vector quantizers for general networks. We discuss the algorithm's implementation and compare the performance of the resulting "network vector quantizers" to traditional vector quantizers (VQs) and to rate-distortion (R-D) bounds where available. While some special cases of network codes (e.g., multiresolution (MR) and multiple description (MD) codes) have been studied in the literature, we here present a unifying approach that both includes these existing solutions as special cases and provides solutions to previously unsolved examples.