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    TSP
    2008
    151views more  TSP 2008»
    Reduce and Boost: Recovering Arbitrary Sets of Jointly Sparse Vectors
    14 years 9 months ago
    Reduce and Boost: Recovering Arbitrary Sets of Jointly Sparse Vectors
    Download  www.technion.ac.il
    The rapid developing area of compressed sensing suggests that a sparse vector lying in a high dimensional space can be accurately and efficiently recovered from only a small set of...
    Moshe Mishali, Yonina C. Eldar
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    TVLSI
    2008
    139views more  TVLSI 2008»
    Ternary CAM Power and Delay Model: Extensions and Uses
    14 years 9 months ago
    Ternary CAM Power and Delay Model: Extensions and Uses
    Download  www.cs.ucsb.edu
    Applications in computer networks often require high throughput access to large data structures for lookup and classification. While advanced algorithms exist to speed these search...
    Banit Agrawal, Timothy Sherwood
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    TVLSI
    2008
    108views more  TVLSI 2008»
    Unified Convolutional/Turbo Decoder Design Using Tile-Based Timing Analysis of VA/MAP Kernel
    14 years 9 months ago
    Unified Convolutional/Turbo Decoder Design Using Tile-Based Timing Analysis of VA/MAP Kernel
    Download  access.ee.ntu.edu.tw
    To satisfy the advanced forward-error-correction (FEC) standards, in which the Convolutional code and Turbo code may co-exit, a prototype design of a unified Convolutional/Turbo de...
    Fan-Min Li, Cheng-Hung Lin, An-Yeu Wu
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    JUCS
    2007
    95views more  JUCS 2007»
    Using Place Invariants and Test Point Placement to Isolate Faults in Discrete Event Systems
    14 years 9 months ago
    Using Place Invariants and Test Point Placement to Isolate Faults in Discrete Event Systems
    Download  www.jucs.org
    : This paper describes a method of using Petri net P-invariants in system diagnosis. To model this process a net oriented fault classification is presented. Hence, the considered d...
    Iwan Tabakow
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    BMCBI
    2004
    133views more  BMCBI 2004»
    Evaluation of several lightweight stochastic context-free grammars for RNA secondary structure prediction
    14 years 9 months ago
    Evaluation of several lightweight stochastic context-free grammars for RNA secondary structure prediction
    Download  www.biomedcentral.com
    Background: RNA secondary structure prediction methods based on probabilistic modeling can be developed using stochastic context-free grammars (SCFGs). Such methods can readily co...
    Robin D. Dowell, Sean R. Eddy
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