137 research outputs found
On Algebraic Decoding of -ary Reed-Muller and Product-Reed-Solomon Codes
We consider a list decoding algorithm recently proposed by Pellikaan-Wu
\cite{PW2005} for -ary Reed-Muller codes of
length when . A simple and easily accessible
correctness proof is given which shows that this algorithm achieves a relative
error-correction radius of . This is
an improvement over the proof using one-point Algebraic-Geometric codes given
in \cite{PW2005}. The described algorithm can be adapted to decode
Product-Reed-Solomon codes.
We then propose a new low complexity recursive algebraic decoding algorithm
for Reed-Muller and Product-Reed-Solomon codes. Our algorithm achieves a
relative error correction radius of . This technique is then proved to outperform the Pellikaan-Wu
method in both complexity and error correction radius over a wide range of code
rates.Comment: 5 pages, 5 figures, to be presented at 2007 IEEE International
Symposium on Information Theory, Nice, France (ISIT 2007
Airworthiness Requirements for Type Certification of NALLA Report No. 3- Dynamic Tests and Analysis)
This Report is Third in the series of the TEN Reports prepared by NALLA Airworthiness Group to assist the NALLA design team in providing ready information on airworthiness requirements to be met while considering Dynamic Tests and
Analysis aspects in the aircraft design
Airworthiness Requirements for Type Certification of NALLA (Report No.5-Aircraft Materials and Fabrication Aspects)
This report is Fifth in the series of the TEN Report prepared by NALLA Airworthiness Group to assist the NALLA design team in providing ready information on airworthiness requirements
to be met while selecting/ using materials as well as adapting fabrication methods for a light aircraft
Bayesian Analysis for Component Manufacturing Processes
In manufacturing processes various machines are used to produce the same product. Based on the age, make, etc., of the machines the output may not always follow the same distribution. An attempt is made to introduce Bayesian techniques for a two machine problem. Two cases are presented in this article
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