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shengwenshibie
这是与文本相关的声纹识别，利用MATLAB编写，不错的程序！！！！！(MATLAB)
- 2009-05-08 18:51:58下载
- 积分：1
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Steepest_Descent_Method
最速降模型是泛函分析中的一个经典问题，这里给出了求解该问题的Matlab解法。(Steepest Descent Method)
- 2009-05-18 12:55:25下载
- 积分：1
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rayleigh-Matlab
产生一个随机输出信号在瑞利信道上可以用来生成MATLAB仿真模块。(This program will generate a random signal output by Rayleigh channel can be used to generate MATLAB simulation module.)
- 2014-12-23 17:09:22下载
- 积分：1
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MATLABsil-p-mode
silp mode used in most examples ,according to the book writed by chen jinkun
- 2012-11-06 15:39:38下载
- 积分：1
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876875
一个选择器特效大全的例子：KNMultiItemSelector，IOS编程学习源码，很好的参考资料。(A selector effects Guinness examples: KNMultiItemSelector, learning IOS programming source code, a good reference.)
- 2013-12-05 09:46:11下载
- 积分：1
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PV_System_MPPT_Gridjkhjk
PV system working very good
- 2013-12-10 01:44:37下载
- 积分：1
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ponicare_plot
绘制庞加莱截面图
在相空间中适当（要有利于观察系统的运动特征和变化，如截面不能与轨线相切，更不能包含轨线）选取一截面，在此截面上某一对共轭变量如x1和x.1取固定值，称此截面为Poincare截面，相空间的连续轨迹与Poincare截面的交点成为截点。(Poincare mapping sections in the phase space properly (should be beneficial to observe the system and changes in movement characteristics, such as the cross-section can not be tangent trajectory, but also can not contain rail line) to select a cross-section, in this section for a total of conjugate variables, such as x1 and X.1 take a fixed value, call this cross-section for the Poincare section, the phase space of the continuous trajectory of the point of intersection with the Poincare cross-section to become cut-off point.)
- 2007-11-27 10:57:59下载
- 积分：1
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BPMatlab
利用Matlab实现BP神经网络的程序，给出了具体的例子，写得比较详细。(The application of Matlab to achieve BP neural network procedures, specific examples are given with more detail.)
- 2009-05-05 12:10:58下载
- 积分：1
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7.7
估算在给定门限下常用输入信号的带宽。函数将代表待分析波形的矢量signal作为输入(estimate in a given threshold under the common input signal bandwidth. Function will be representative of the waveform analysis as input vector signal)
- 2007-03-27 19:59:02下载
- 积分：1
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nonmaxsup
说明： Edge detection result should be enhanced using linear method like Median filter to
remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the
centre of the pupil by counting the number of black pixels (zero value) of each column and
row. Then get each row and column that has the maximum number of these black pixels.
Then determine the center by simple calculation according to the image coordinate to set it
correct on the image, consequently we can determine the radius of the pupil. Thus we can find
the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to
locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms
of circle and ellipse.
- 2011-11-18 02:04:40下载
- 积分：1
