Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
A bibliography on roots of polynomials
Journal of Computational and Applied Mathematics
Distributed quantization over noisy channels
IEEE Transactions on Communications
Nonlinear coding and estimation for correlated data in wireless sensor networks
IEEE Transactions on Communications
Curves on a sphere, shift-map dynamics, and error control for continuous alphabet sources
IEEE Transactions on Information Theory
Hybrid Digital–Analog Source–Channel Coding for Bandwidth Compression/Expansion
IEEE Transactions on Information Theory
Distortion Bounds for Broadcasting With Bandwidth Expansion
IEEE Transactions on Information Theory
Analog distributed source-channel coding using sinusoids
ISWCS'09 Proceedings of the 6th international conference on Symposium on Wireless Communication Systems
Nonlinear coding and estimation for correlated data in wireless sensor networks
IEEE Transactions on Communications
Optimized low-delay source-channel-relay mappings
IEEE Transactions on Communications
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In many communication applications one is interested in transmitting a time-discrete analog-valued (i.e. continuous alphabet) source over a time-discrete analog channel. We study this problem in the case of bandwidth expansion, in the sense that one source sample, X, is transmitted over N orthogonal channels. An analog source-channel code based on orthogonal polynomials is proposed and analyzed. The code can be generated using a Gram-Schmidt procedure, to fit virtually any source distribution.