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pf_PQ

于 2013-03-31 发布文件大小:24KB

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快速解耦法潮流程序，东南大学网站教学资料，电力专业研究生必备，注释全面(Fast Decoupled Load Flow program, the Southeast University website teaching materials, electricity Graduate essential, annotation comprehensive)

文件列表：

快速解耦法
..........\004结果.doc,30720,2005-05-01
..........\BUSOUT.M,1025,2005-04-12
..........\LFNEWTON.asv,6632,2005-05-01
..........\LFNEWTON.M,7090,2005-05-01
..........\LFYBUS.asv,1437,2005-04-11
..........\LFYBUS.M,1472,2005-04-11
..........\LINEFLOW.asv,1820,2005-04-12
..........\LINEFLOW.M,1960,2005-04-12
..........\Newton.asv,1661,2005-05-03
..........\Newton.m,5379,2005-05-03
..........\结果.doc,65024,2005-05-03

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Up_synchronization_Dick
The timing_recovery_1.mdl uses Simulinks variable step solver to create a continous time QPSK signal with both carrier and symbol rate errors. This is a relativly straight forward approach, but is computationally expensive. The sescond model, timing_recovery_2Q.mdl uses a purely discrete time approach using the same fractional sample delay approach as does the receiver. This can run much faster.

2012-01-04 13:42:55下载

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pmsmmn
关于永磁同步电机系统调速的。得到的系统图形比较规范，希望对大家有帮助。(On permanent magnet synchronous motor speed control system. Graphical comparison of the resulting system specifications, we want to help.)

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zcr
说明： matlab实现对声音信号短时能量，短时过零率的计算。(matlab voice signals to achieve short-term energy, zero-crossing rate of short-term calculations.)

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pingtu
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2009-08-23 19:26:45下载

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autocorr
利用Matlab求解Lang-Kobayashi方程(The use of Matlab in Lang-Kobayashi equation)

2013-04-26 10:46:33下载

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statecom
hystersis control algorith which is bein done in matlab

2014-02-08 01:09:53下载

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ICA
说明： ICA的matlab程序，含有实验的数据资料(The matlab ica-based，Contains experimental data )

2011-03-15 11:53:36下载

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g
说明：基于matlab的FSK调制解调系统的实现程序很好的东西本人亲身用过有意者可以看看(The FSK modulation and demodulation matlab-based system to achieve good things I personally procedures used Interested parties can look at)

2010-05-27 12:23:50下载

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cartpole-master
Cart-pole problem solition with python

2013-11-27 03:51:04下载

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lms
最小均方算法lms在波束形成中的应用　　LMS算法步骤：　　1,、设置变量和参量：　　X(n)为输入向量，或称为训练样本　　W(n)为权值向量　　b(n)为偏差　　d(n)为期望输出　　y(n)为实际输出　　η为学习速率　　n为迭代次数　　2、初始化，赋给w(0)各一个较小的随机非零值，令n=0 　　3、对于一组输入样本x(n)和对应的期望输出d，计算　　e(n)=d(n)-X^T(n)W(n) 　　W(n+1)=W(n)+ηX(n)e(n) 　　4、判断是否满足条件，若满足算法结束，若否n增加1，转入第3步继续执行。(Lms least mean square algorithm applied in Beamforming )

2011-04-28 23:25:35下载

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