Sphere-packings, lattices, and groups
Sphere-packings, lattices, and groups
Joint source channel coding with side information using hybrid digital analog codes
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Sphere-bound-achieving coset codes and multilevel coset codes
IEEE Transactions on Information Theory
Nested linear/lattice codes for structured multiterminal binning
IEEE Transactions on Information Theory
To code, or not to code: lossy source-channel communication revisited
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
On joint source-channel coding for the Wyner-Ziv source and the Gel'fand-Pinsker channel
IEEE Transactions on Information Theory
Achieving 1/2 log (1+SNR) on the AWGN channel with lattice encoding and decoding
IEEE Transactions on Information Theory
Lattices which are good for (almost) everything
IEEE Transactions on Information Theory
Capacity and lattice strategies for canceling known interference
IEEE Transactions on Information Theory
On error exponents of modulo lattice additive noise channels
IEEE Transactions on Information Theory
Superposition coding for side-information channels
IEEE Transactions on Information Theory
Distortion Bounds for Broadcasting With Bandwidth Expansion
IEEE Transactions on Information Theory
Computation Over Multiple-Access Channels
IEEE Transactions on Information Theory
Hybrid coding for Gaussian broadcast channels with Gaussian sources
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 4
Joint source channel coding with side information using hybrid digital analog codes
IEEE Transactions on Information Theory
Cactus: a hybrid digital-analog wireless video communication system
Proceedings of the 16th ACM international conference on Modeling, analysis & simulation of wireless and mobile systems
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The combination of source coding with decoder side information (the Wyner-Ziv problem) and channel coding with encoder side information (the Gel'fand-Pinsker problem) can be optimally solved using the separation principle. In this work, we show an alternative scheme for the quadratic-Gaussian case, which merges source and channel coding. This scheme achieves the optimal performance by applying a modulo-lattice modulation to the analog source. Thus, it saves the complexity of quantization and channel decoding, and remains with the task of "shaping" only. Furthermore, for high signal-to-noise ratio (SNR), the scheme approaches the optimal performance using an SNR-independent encoder, thus it proves for this special case the feasibility of universal joint source-channel coding.