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TemplateMatchingProgram
这是模式识别中模板匹配内容的Matlab例程，其中edit_distance程序用来计算两个符号字符串间的编辑距离；
back-tracking程序是“回溯”法画出最佳路径的代价网格；
Dtw-Sakoe.m程序是具有Sakoe-Chiba局部路径约束的动态时间弯
折。(This is a pattern recognition template matching the content of Matlab routines, which edit_distance procedures used to calculate the two symbols of the edit distance between strings back-tracking program is " back" method to draw the best path cost grid Dtw- Sakoe.m program is a Sakoe-Chiba local path constraint of the dynamic time warping.)
- 2010-06-04 16:58:49下载
- 积分：1
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10booksaboutmatlab01
matlab编成设计基础相关的10本书，对学好matlab有很大帮助。(matlab-related design basis into 10 books, has a lot to learn matlab help.)
- 2007-07-26 09:39:14下载
- 积分：1
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PLLL
Its a PLL in simulink.
- 2011-12-03 22:42:58下载
- 积分：1
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MATLAB_simulation_program_package_documentation_wa
MATLAB程序波片偏振仿真打包文档教程MATLAB simulation program package documentation wave plate polarization Tutorial(MATLAB simulation program package documentation wave plate polarization Tutorial MATLAB simulation program package documentation wave plate polarization Tutorial)
- 2010-08-02 12:51:14下载
- 积分：1
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MS_Regress_FEX
这个Matlab程序估计、预测马尔可夫转换回归(Markov Switching Regression)，绘制出K线图等回归。(The Matlab program estimates, forecasts Markov transition regression (Markov Switching Regression), drawing out the return of K line maps.)
- 2010-08-23 21:51:07下载
- 积分：1
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HspiceToolbox
hspice toolbox interface between hspice and matlab
- 2011-02-05 07:42:32下载
- 积分：1
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zhenzhennengyongde
分形方法描述了物体的粗糙度，可以结合实体造型软件使用(fractal interpolated)
- 2013-10-17 21:46:23下载
- 积分：1
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Wavelet_Estimation
计算时间序列的Hurst系数有许多方法，但是其中最准确的就是利用小波法来计算，本程序用Matlab实现了用小波来计算Hurst系数。(Calculation of the Hurst coefficient of time series has a number of ways, but one of the most accurate method is to use wavelet basis, the procedures used to achieve the use of Matlab to calculate the Hurst coefficient of wavelet.)
- 2008-03-27 13:54:38下载
- 积分：1
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weiner
implementation of Weine filter in matlab
- 2009-12-19 20:37:17下载
- 积分：1
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DSP
任务：
1） 借助MATLAB画出误差性能曲面和误差性能曲面的等值曲线（参考PPT2.1第17页的两幅图）；
2） 写出最陡下降法以及LMS算法的计算公式（取 ）；
3） 用MATLAB产生方差为0.05, 均值为0白噪音S(n)，并画出某次采样得到的波形（即产生任意一个噪声随机序列）；
4） 根据 2）中的公式，并利用 3）中产生的S(n)，在 1）中的误差性能曲面的等值曲线上叠加画出采用最陡下降法以及LMS法时H(n)的在叠代过程中的轨迹曲线（参考PPT2.1第17页的右下图的曲线1和曲线2）。
5）用MATLAB计算并画出LMS法时 随时间n的变化曲线（对应S(n)的某一次的一次实现）和e(n)波形；
注意：某一次实现的结果并不能从统计的角度反映实验的结果 的正确性，为得到具有统计特性的实验结果，可用足够多次的 实验结果的平均值作为实验的结果。用MATLAB计算并画出 采用LMS法时，J(n)的100次实验结果的平均值随时间n的变 化曲线（即 生成随机噪声信号并计算结果，重复执行100次， 求平均结果）。
6）在 1）中的误差性能曲面的等值曲线上，叠加画出采用LMS法得到的100次实验中的H(n)的平均值的轨迹曲线；
(Task:
1 ) Draw with MATLAB error performance surface and surface contour error performance curve ( refer PPT2.1 two chart on page 17 )
2 ) Write the steepest descent method and the LMS algorithm formula ( take )
3 ) Using MATLAB to generate variance of 0.05 with a mean of 0 white noise S (n), and draw a particular sampling waveform ( ie, any noise generated random sequence )
4 ) based on 2 ) of the formula , and use 3 ) generated in S (n), in a ) the error performance curves superimposed on the surface contour plot using the steepest descent method and the LMS method when H (n) the iterative process in the trajectory curve ( refer PPT2.1 page 17 bottom right of the curves 1 and 2 ) .
5 ) using MATLAB LMS method is used calculate and draw the curve with time n (corresponding to S (n) of a first implementation of a ) and e (n) waveform
Note : in a first implementation of the results are not reflected from a statistical point of view of accuracy of the experimental results ,)
- 2013-11-08 20:09:06下载
- 积分：1
