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distributed-sampling
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A square root sampling law for signal recovery
, Article IEEE Signal Processing Letters ; Volume 26, Issue 4 , 2019 , Pages 562-566 ; 10709908 (ISSN) ; Gohari, A ; Marvasti, F ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2019
Abstract
The problem of finding the optimal node density for reconstructing a stochastic signal from its noisy samples in sensor networks is considered. The signal could be nonstationary and nonbandlimited. A weight is assigned to each location that indicates the relative importance of the signal at that location. It is shown that when the number of samples is very large, the optimal density of the samples at each location is proportional to the square root of the weight associated to that location
Raptor codes on symmetric channels
, Article Proceedings - 2004 IEEE International Symposium on Information Theory, Chicago, IL, 27 June 2004 through 2 July 2004 ; 2004 , Pages 38- ; 21578097 (ISSN) ; Molkaraie, M ; Shokrollahi, A ; Sharif University of Technology
2004
Abstract
We extend the construction and analysis of Raptor codes originally designed in [1] for the erasure channel to general symmetric channels. We explicitly calculate the asymptotic fraction of output nodes of degree one and two for capacity-achieving Raptor codes, and discuss techniques to optimize the output degree distribution