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compconv
用MATLAB仿真实现GMSK，可直接运行的。(Using MATLAB simulation GMSK, can be directly run.)
- 2009-01-02 18:42:19下载
- 积分：1
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FMModulation
这是一个实现FM调制的信号去噪均衡程序，你可以理解FM调制的原理，同时理解均衡去噪的原理(This is an FM modulated signal denoising achieve a balanced program, you can understand the principles of FM modulation, while understanding the principles of balanced de-noising)
- 2013-07-24 10:28:42下载
- 积分：1
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beam
利用matlab编写的有限元程序 beam(Finite Element Analysis)
- 2011-06-10 18:20:12下载
- 积分：1
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PV_Array_Author_rupesh
simulation in matlab simulink of a pv array for solar energy conversion
- 2011-10-18 23:21:06下载
- 积分：1
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radon56
车牌水平矫正中radon变换的应用，注意radon变换检测直线方向有几种，有基于投影最大值的，有基于车牌字符空隙的等。(The level of radon transform plate correction application, pay attention to radon transform to detect straight line there are several, with the maximum value based on the projection, there are gaps in the other characters on license plates.)
- 2010-07-26 10:32:42下载
- 积分：1
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QPSK_simulink_demo
说明： 非常形象的QPSK simulink 例子。(Very image of QPSK simulink examples)
- 2009-07-26 17:10:07下载
- 积分：1
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image-frequency-shift
对一幅图像的频谱进行频率位移，移到窗口中央，并显示出频率变换后的频谱图(The frequency spectrum of the image frequency shift, to move the central window, and shows the spectrum after the frequency conversion)
- 2011-05-10 16:14:43下载
- 积分：1
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Newton-Raphson
Newton-Raphson 算法 用来求解非线性方程组根的解法(Newton-Raphson algorithm used to solve the root of the solution of nonlinear equations)
- 2012-05-20 19:47:30下载
- 积分：1
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WY-DWT
离散小波变换，包括各层分解，消除了边界效应等问题(DWT，including every layer)
- 2014-11-06 14:37:02下载
- 积分：1
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spam-classification--matlab
机器学习中的垃圾邮件分类程序，用matlab做的。从以下链接下载垃圾邮件数据（spam data）：(数据已下载，放在spambase.zip)
http://www-stat.stanford.edu/~tibs/ElemStatLearn/index.html
该数据包含57个邮件信息相关的变量，每条邮件可以被分类为垃圾邮件（Y=1）和非垃圾邮件（Y=0）。输出Y的值在文件中每一列的末尾。练习的目标是要预测电子邮件是否为垃圾邮件。
(Machine Learning spam classification procedures, using matlab to do. Data (spam data) from the following link to download the junk mail: (data has been downloaded, put spambase.zip) http://www-stat.stanford.edu/ ~ tibs/ElemStatLearn/index.html The data includes 57 e-mail messages related variables, each message can be classified as spam (Y = 1) and non-spam (Y = 0). Y value of the output end of each column in the file. The goal is to predict exercise email is spam.)
- 2020-12-15 21:29:16下载
- 积分：1
