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tmmcoupling
THIS M-FILE USES THE TRANFER MATRIX METHOD TO EVALUATE THE COUPLED-MODE
％EQUATIONS. THE REFLECTION SPECTRUM OF THE GRATING AND THE TRANSMISSION
％SPECTRUM, DELAY AND DISPERSION OF THE FABRY-PEROT FILTER ARE SIMULATED(THIS M-FILE TRANFER USES THE MATRIX METHOD TO EVALUATE THE COUPLED- MODE EQUATIONS%. THE R EFLECTION SPECTRUM OF THE GRATING AND THE TRANS MISSION% SPECTRUM, DELAY AND DISPERSION OF THE FABRY-Ross PEROT FILTER ARE SIMULATED)
- 2006-12-12 16:30:11下载
- 积分：1
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exp
关于蒙特卡洛在工程上的应用，仅供参考和互相学习，共同进步。(About Monte Carlo in engineering applications, for reference and mutual learning and common progress.)
- 2013-11-05 11:36:20下载
- 积分：1
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libsvm
Libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It solves C-SVM classification, nu-SVM
classification, one-class-SVM, epsilon-SVM regression, and nu-SVM
regression. It also provides an automatic model selection tool for
C-SVM classification. This document explains the use of libsvm.
- 2009-05-12 14:17:53下载
- 积分：1
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hodochrones
autocorrelation matlab file
- 2011-04-21 06:25:01下载
- 积分：1
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CodvecMSAP
the vector control of brushless machine
- 2010-05-22 05:33:40下载
- 积分：1
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matlab
仿真程序：首先需要用一个随机发生器产生（0.1）内的均匀随机数，然后再将该序列映射到对应的幅度电平｛Am｝。然后将这个范围再分成4个相等的区间，这些子区间分别对应于4个信号比特的符号00，01，10，11。检测器观察到r=Am+n，并且计算r和4种可能传输的信号幅度之间的距离，它的输出Bm就是相应于最小距离的信号电平。Bm与真正的的传输信号幅度比较，差错计数器用来对检测器产生的差错计数。(Simulation program: first need to use a random generator (0.1) the uniform random number, then the sequence is mapped to the corresponding amplitude level {Am}. Then this range has been divided into four equal intervals, these sub-intervals corresponding to four signal bits of the symbol 00,01,10,11. Detector observed r = Am+ n, and calculate r and 4 possible transmission distance between the signal amplitude, its output corresponding to the minimum distance Bm is the signal level. Bm and the real rate of transmission of the signal comparison, error detection counter is used to generate the error count.)
- 2011-05-21 12:18:13下载
- 积分：1
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连通性判断
判断网络的连通性，网络连通输出1，不连通输出2(Determine the connectivity of the network, network connected output 1, disconnected output 2)
- 2018-05-23 20:17:12下载
- 积分：1
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SHT
说明： shtXX 实际应用样例，有详细中文说明，已经调试验证过(shtXX the practical application of the sample, a detailed explanation in Chinese, has been verified debugging)
- 2011-03-07 22:37:13下载
- 积分：1
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sons
Compressive sensing (CS) has been proposed for signals with sparsity
in a linear transform domain. We explore a signal dependent
unknown linear transform, namely the impulse response matrix operating
on a sparse excitation, as in the linear model of speech production,
for recovering compressive sensed speech. Since the linear
transform is signal dependent and unknown, unlike the standard
CS formulation, a codebook of transfer functions is proposed in a
matching pursuit (MP) framework for CS recovery. It is found that
MP is efficient and effective to recover CS encoded speech as well
as jointly estimate the linear model. Moderate number of CS measurements
and low order sparsity estimate will result in MP converge
to the same linear transform as direct VQ of the LP vector derived
the original signal. There is also high positive correlation between
signal domain approximation and CS measurement domain
approximation for a large variety of speech spectra.
- 2020-12-03 13:19:24下载
- 积分：1
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compare
说明： 对比不同矩阵的方案。二十个字太多了，二十个字太多(compare different orthogonalization scheme)
- 2010-04-14 20:26:24下载
- 积分：1
