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    DLT
    2003
    113views Theoretical Computer Science» more  DLT 2003»
    NFA Reduction Algorithms by Means of Regular Inequalities
    13 years 10 months ago
    NFA Reduction Algorithms by Means of Regular Inequalities
    Download  jmc.feydakins.org
    We present different techniques for reducing the number of states and transitions in nondeterministic automata. These techniques are based on the two preorders over the set of st...
    Jean-Marc Champarnaud, Fabien Coulon
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    DAC
    2005
    ACM
    112views Computer Architecture» more  DAC 2005»
    Segregation by primary phase factors: a full-wave algorithm for model order reduction
    14 years 9 months ago
    Segregation by primary phase factors: a full-wave algorithm for model order reduction
    Download  www.rle.mit.edu
    Existing Full-wave Model Order Reduction (FMOR) approaches are based on Expanded Taylor Series Approximations (ETAS) of the oscillatory full-wave system matrix. The accuracy of su...
    Thomas J. Klemas, Luca Daniel, Jacob K. White
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    VTC
    2006
    IEEE
    134views Communications» more  VTC 2006»
    Efficient Algorithms for PAPR Reduction in OFDM Transmitters Implemented using Fixed-Point DSPs
    14 years 2 months ago
    Efficient Algorithms for PAPR Reduction in OFDM Transmitters Implemented using Fixed-Point DSPs
    Download  www.ecse.monash.edu.au
    OFDM has a very high peak-to-average power ratio. This imposes stringent dynamic range requirements on the analog front-ends of the transmitter and receiver and, if a fixedpoint pr...
    Brendon J. C. Schmidt, Chi Ng, Patrick Yien, Chris...
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    GECCO
    1999
    Springer
    126views Optimization» more  GECCO 1999»
    Improving Genetic Algorithms by Search Space Reductions (with Applications to Flow Shop Scheduling)
    14 years 1 months ago
    Improving Genetic Algorithms by Search Space Reductions (with Applications to Flow Shop Scheduling)
    Download  www.ri.cmu.edu
    Crossover operators that preserve common components can also preserve representation level constraints. Consequently, these constraints can be used to beneficially reduce the sea...
    Stephen Y. Chen, Stephen F. Smith
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    APPROX
    2008
    Springer
    103views Algorithms» more  APPROX 2008»
    Ordinal Embedding: Approximation Algorithms and Dimensionality Reduction
    13 years 11 months ago
    Ordinal Embedding: Approximation Algorithms and Dimensionality Reduction
    Download  www-math.mit.edu
    Mihai Badoiu, Erik D. Demaine, MohammadTaghi Hajia...
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