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DEAMATLAB-master

于 2017-12-18 发布文件大小:52KB

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下载积分: 1 下载次数: 5

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代码说明：

dea的ccr模型、超效率模型的m文件和实例(The CCR model of DEA, the M files and examples of the super efficiency model)

文件列表：

DEAMATLAB-master
DEAMATLAB-master\LICENSE, 35141, 2017-01-24
DEAMATLAB-master\README.md, 690, 2017-01-24
DEAMATLAB-master\deatoolbox
DEAMATLAB-master\deatoolbox\dea.m, 15572, 2017-01-24
DEAMATLAB-master\deatoolbox\dea2table.m, 1438, 2017-01-24
DEAMATLAB-master\deatoolbox\deaaddit.m, 5640, 2017-01-24
DEAMATLAB-master\deatoolbox\deaadditprofit.m, 4837, 2017-01-24
DEAMATLAB-master\deatoolbox\deaadditsuper.m, 5518, 2017-01-24
DEAMATLAB-master\deatoolbox\deaalloc.m, 8346, 2017-01-24
DEAMATLAB-master\deatoolbox\deaboot.m, 6197, 2017-01-24
DEAMATLAB-master\deatoolbox\deadataFLS.mat, 330, 2017-01-24
DEAMATLAB-master\deatoolbox\deadisp.m, 5285, 2017-01-24
DEAMATLAB-master\deatoolbox\deamalm.m, 5121, 2017-01-24
DEAMATLAB-master\deatoolbox\deamalmboot.m, 8867, 2017-01-24
DEAMATLAB-master\deatoolbox\deamalmluen.m, 5769, 2017-01-24
DEAMATLAB-master\deatoolbox\deaout.m, 4092, 2017-01-24
DEAMATLAB-master\deatoolbox\deascale.m, 2510, 2017-01-24
DEAMATLAB-master\deatoolbox\deasuper.m, 4264, 2017-01-24
DEAMATLAB-master\deatoolbox\deatestrts.m, 3515, 2017-01-24
DEAMATLAB-master\deatoolbox\deaund.m, 11060, 2017-01-24
DEAMATLAB-master\deatoolbox\private
DEAMATLAB-master\deatoolbox\private\getDEAformat.m, 4848, 2017-01-24
DEAMATLAB-master\deatoolbox\private\getDEAoptions.m, 2309, 2017-01-24
DEAMATLAB-master\examples
DEAMATLAB-master\examples\examples.m, 4280, 2017-01-24
DEAMATLAB-master\examples\ioresults.csv, 388, 2017-01-24
DEAMATLAB-master\license.txt, 716, 2017-01-24
DEAMATLAB-master\readme.txt, 665, 2017-01-24
DEAMATLAB-master\unittests
DEAMATLAB-master\unittests\deaTest.m, 2134, 2017-01-24
DEAMATLAB-master\unittests\deaadditTest.m, 729, 2017-01-24
DEAMATLAB-master\unittests\deaadditsuperTest.m, 500, 2017-01-24
DEAMATLAB-master\unittests\deaddfTest.m, 3548, 2017-01-24
DEAMATLAB-master\unittests\deasuperTest.m, 396, 2017-01-24

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用于矩阵的一种cholesky分解方法，第一次上传请多关照(cholesky method for matrix decomposition)

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用牛顿迭代法估计正弦信号的幅度，相位，频率，选用多次montecalor算法估计参数均值，并与理论上参数估计的CRLB下限进行比较。(Newton iterative method estimates the sinusoidal signal amplitude, phase, frequency, use multiple montecalor algorithm to estimate the parameters mean, and with the theoretical limit of parameter estimation CRLB compare.)

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说明：对时间序列进行滤波，去掉噪声，得到平滑后的数据(Filters a time series via Lanczos method (cosine filter).)

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