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CSBP_matlab

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  • Update : 2018-05-03
  • Size : 16kb
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Introduction - If you have any usage issues, please Google them yourself
Orthogonal matching pursuit (OMP) algorithm belongs to greedy algorithm. Greedy algorithm is a method that does not pursue the optimal solution but only needs satisfactory solutions. Greedy law can generally get a satisfactory solution quickly, because it eliminates the need to exhaust all possible and expensive time for finding the optimal solution. Greedy algorithms are often based on the current situation for optimal selection without considering all possible overall situations, so greedy algorithms do not backtrack.
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FilenameSizeUpdate
CSBP_matlab\convpdf.m 40 2008-11-28
CSBP_matlab\convpdf_fft.m 108 2008-11-28
CSBP_matlab\decoder.m 5055 2008-12-22
CSBP_matlab\dispvec_anderrors.m 278 2008-11-28
CSBP_matlab\divpdf.m 46 2008-11-28
CSBP_matlab\divpdf_log.m 42 2008-11-28
CSBP_matlab\driver.m 1377 2008-12-22
CSBP_matlab\driver_function.m 1699 2008-12-22
CSBP_matlab\encoder.m 307 2008-11-28
CSBP_matlab\fftshift_shri.m 116 2008-11-28
CSBP_matlab\generatex_noisy.m 245 2007-04-02
CSBP_matlab\gen_phi.m 951 2008-11-28
CSBP_matlab\GetSelfIndices.m 841 2008-11-28
CSBP_matlab\get_aux.m 390 2008-12-22
CSBP_matlab\gmean.m 82 2008-11-28
CSBP_matlab\ifftshift_shri.m 117 2008-11-28
CSBP_matlab\main.m 1696 2008-12-22
CSBP_matlab\meanpdf.m 67 2008-11-28
CSBP_matlab\meanvarmaxpdf.m 157 2008-11-22
CSBP_matlab\mulpdf.m 45 2007-04-02
CSBP_matlab\mulpdf_log.m 41 2007-04-02
CSBP_matlab\normpdf.m 1174 2006-03-01
CSBP_matlab\reverse.m 51 2007-04-02
CSBP_matlab\setdiff_shri.m 74 2008-11-28
CSBP_matlab\shiftpdf.m 224 2008-11-28
CSBP_matlab\shiftpdf_fft.m 402 2008-11-28
CSBP_matlab\sims1c.m 4273 2008-11-28
CSBP_matlab\sims2d.m 4241 2008-12-09
CSBP_matlab\sims3b.m 3838 2008-12-14
CSBP_matlab\sims4b.m 4279 2008-12-14
CSBP_matlab\sims_graphs.m 2632 2008-12-21
CSBP_matlab\unconvpdf_fft.m 86 2008-11-28
CSBP_matlab 0 2012-06-12
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