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self_imaging
计算一个句柄函数周期开拓后的Fourier级数展开系数（涉及到如何处理振荡函数积分的问题），并给出一个应用它的例子——光栅自成像movie演示。(Fourier integral (dealing with oscillatory integrand))
- 2010-05-13 22:30:57下载
- 积分：1
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sim(xiangsidu)
求算两个时间序列的曲线相似度，相似度的绝对值越接近于1，说明两者的相似度越高。(Calculate the curve of two time series similarity, the similarity of the absolute value is closer to 1, the higher the similarity of the two.)
- 2016-04-07 12:41:01下载
- 积分：1
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BocSignal
该代码在Matlab R2008a的Simulink中实现了boc信号的调制（参数可设置），并附有pdf参考资料。(The code of Simulink in Matlab R2008a achieve the boc signal modulation (parameter setting), together with the pdf reference.)
- 2010-07-27 19:47:21下载
- 积分：1
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ee
说明： 快速傅里叶变换 (FFT) 实现，给定信号x(t)=sin(2πf0t)，f0=50Hz，对x(t)以fs=200Hz进行抽样，抽样点数为N=16。编写程序实现对x(n)的快速傅里叶变换，求得相应的X(K)。(Fast Fourier Transform (FFT) to achieve a given signal x (t) = sin (2πf0t), f0 = 50Hz, for x (t) with fs = 200Hz sampling, the sampling points is N = 16. Procedures for the preparation of x (n) of the fast Fourier transform, obtained by the corresponding X (K).)
- 2013-09-06 19:44:45下载
- 积分：1
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k-means-on-matlab
k-means on matlab .........
- 2011-02-10 02:22:17下载
- 积分：1
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chap2_4eq
说明： 小程序 大家将就下 把！！！！！通过一个程序 滑模控制 消去抖动(small program where you will! ! ! ! ! Through a sliding mode control procedures to eliminate jitter.)
- 2006-04-26 14:38:48下载
- 积分：1
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0-387-95365-5_Feagin
Quantum Methods with MathematicaQuantum Methods with MathematicaQuantum Methods with Mathematica的源程序(The Quantum Methods with MathematicaQuantum Methods, with Mathematica' s source code with MathematicaQuantum Methods.)
- 2012-06-08 16:52:39下载
- 积分：1
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nongdufenbu
根据地理坐标和分析对象的浓度值画出浓度分布图的程序(According to the procedures of the geographical coordinates and the concentration of the analyte values to draw concentration maps)
- 2012-06-22 11:42:58下载
- 积分：1
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raw
读取和写入raw格式图像，此格式图像文件存储一幅图中的全部像素点，并以每个像素点16bit数据保存(read and write a raw format 16-bit image)
- 2009-11-09 10:58:18下载
- 积分：1
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fisherface
Eigenfaces: PCA tends to find a p-dimensional subspace
whose basis vectors correspond to the maximum
variance direction in the original image space (p N).
We called the new subspace defined by basis vectors “face
space”. First, all training faces are projected onto the face
space to find a set of weights that describes the contribution
of each vector. Then we project all testing faces onto the
face space to obtain a set of weights. Finally, we identify
the face by comparing a set of weights for the testing face
to sets of weights of training faces.
- 2010-11-20 17:00:21下载
- 积分：1
