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FFT_SNR
snr calculation based on FFT
- 2010-07-27 16:31:39下载
- 积分：1
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MatLab-20Tutorial
MatLab-20Tutorial.zip........this file contains 20 pdf tutorails on matlab with examples on m files.
- 2009-12-30 01:17:59下载
- 积分：1
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PLS
PLS插件，用于spss17.0的PLS插件(PLS plug-in for the SPSS17.0 the PLS plug-ins)
- 2013-04-06 16:23:20下载
- 积分：1
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chapter3
基于遗传算法的BP神经网络优化算法Matlab实现(Optimization algorithm based on genetic algorithm BP neural network)
- 2014-02-19 11:11:40下载
- 积分：1
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dataProc
it is a code to process the data of CWB autosite in TAIWAN
- 2012-03-25 16:00:37下载
- 积分：1
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ocica97-p
这是一篇ica盲源分离方法的技术文章
Overcomplete 的方法来解决(Blind Source Separation of More Sources Than Mixtures Using Overcomplete Representations)
- 2009-04-11 16:33:09下载
- 积分：1
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非常成功的matlab代码
说明： 用matlab采集音频，这只需要你的电脑有录音设备，适用于新的R2018a及以上版本(Use matlab to collect audio. It only needs your computer to have a recording device, which is suitable for the new r2018a and above)
- 2020-05-15 14:03:58下载
- 积分：1
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conv
用matlab实现了对于离散系列在时域上求其现行卷积(Achieved with matlab for the discrete series in the time domain convolution seek their existing)
- 2010-05-16 17:05:47下载
- 积分：1
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Tsteepest_desh
这个Matlab程序实现最速下降算法。最速下降法是一种最基本的算法，它在最优化方法中占有重要地位.最速下降法的优点是工作量小，存储储变量较少,初始点要求不高；缺点是收敛慢，最速下降法适用于寻优过程的前期迭代或作为间插步骤，当接近极值点时，宜选用别种收敛快的算法.
(The Matlab program to achieve the steepest descent algorithm. Steepest descent method is a basic algorithm, it occupies an important position in the optimization method. Advantage of the steepest descent method is the small amount of work, less storage reservoir variables, the initial point less demanding drawback is slow convergence, the steepest descent method for the optimization process of the early iterations, or as inserted steps are advised to use other kinds of fast convergence of the algorithm when close to the extreme point.)
- 2012-08-20 07:27:17下载
- 积分：1
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src
How to use the ordinary Voronoi partition generator. The m-files also have
their own help documentation that you can view in Matlab. This code creates
a bounding polygon that is a square. Then it randomly creates 10 points
and then creates and draws the partition.
bounds = [0, 10, 10, 0 0, 0, 10, 10]
points = 10 * rand(2, 10)
regions = voronoi(bounds, points)
drawRegions(bounds, regions)
================================
This is a brief set of instructions on how to use the Multiplicatively-
weighted Voronoi partition generator.
Each of the m-files has a help section, so in Matlab you can call:
help mwvoronoi
help drawRegions
Here is an example that creates a bounding polygon, a square with side
length 10. Then it randomly creates six points with random weights.
Finally, the code draws the resulting partition.
bounds = [0, 10, 10, 0 0, 0, 10, 10]
points = 10 * rand(3, 6)
regions = mwvoronoi(bounds, points)
drawRegions(bounds, regions)
Enjoy!
- 2013-10-30 12:23:18下载
- 积分：1
