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» Neural Network Decoders for Linear Block Codes
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CORR
2007
Springer
98views Education» more  CORR 2007»
13 years 7 months ago
Signal Set Design for Full-Diversity Low-Decoding-Complexity Differential Scaled-Unitary STBCs
— The problem of designing high rate, full diversity noncoherent space-time block codes (STBCs) with low encoding and decoding complexity is addressed. First, the notion of g-gro...
G. Susinder Rajan, B. Sundar Rajan
WIA
2000
Springer
13 years 11 months ago
A Package for the Implementation of Block Codes as Finite Automata
We have implemented a package that transforms concise algebraic descriptions of linear block codes into finite automata representations, and also generates decoders from such repre...
Priti Shankar, K. Sasidharan, Vikas Aggarwal, B. S...
TIT
2011
144views more  TIT 2011»
13 years 2 months ago
Network Generalized Hamming Weight
— In this paper, we extend the notion of generalized Hamming weight for classical linear block code to linear network codes by introducing the network generalized Hamming weight ...
Chi Kin Ngai, Raymond W. Yeung, Zhen Zhang
IJCNN
2006
IEEE
14 years 1 months ago
Backpropagation for Population-Temporal Coded Spiking Neural Networks
Abstract— Supervised learning rules for spiking neural networks are currently only able to use time-to-first-spike coding and are plagued by very irregular learning curves due t...
Benjamin Schrauwen, Jan M. Van Campenhout
GLOBECOM
2008
IEEE
14 years 1 months ago
Distributed Double-Differential Orthogonal Space-Time Coding for Cooperative Networks
— In this paper, distributed double-differential coding is proposed to avoid the problem of carrier offsets in amplify and forward protocol based cooperative network with two rel...
Manav R. Bhatnagar, Are Hjørungnes