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Example_Communication_System_with_MATLAB
说明： 书籍的matlab例程：通信系统与 MATLAB(Example: Communication System with MATLAB)
- 2009-07-30 10:22:37下载
- 积分：1
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ML
说明： 最大似然译码的matalb仿真程序，皆为小程序浅显易懂(Maximum likelihood decoding matalb emulator)
- 2012-08-23 20:23:19下载
- 积分：1
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FFT2nd
matlab的FFT仿真文件，可以设置五种不同频率，幅值，初始想问的输入波形，并且通过FFT变换可以看到各个波形的频谱和相位。(The FFT simulation matlab file, you can set up five different frequency, amplitude, initial input waveform to ask, and you can see the spectrum and phase of each waveform by the FFT.)
- 2014-12-11 11:11:22下载
- 积分：1
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lbfgs
This submission contains an interface to a LBFGS-code for unconstrained minimization problems of the form
min_{x} f(x) + c*| ilde{x}|,
where x are the parameters, f is a scalar valued real function, c is a positive scalar (default value=0), |.| denotes the 1-norm, and ilde{x} is some subset of the parameters x.
- 2011-12-24 15:17:00下载
- 积分：1
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ZUOBIAOZHUANHUAN
主要使用MATLAB语言编写的高斯三度与六度带之间的转换(The main use of conversion MATLAB language Gauss three and six degrees between the bands
)
- 2014-09-22 16:24:00下载
- 积分：1
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kmeans_zp
使用K-MEANS算法进行图像的分割，并且有详细的语句注释(K-MEANS algorithm using image segmentation, and a detailed statement notes)
- 2010-06-29 11:42:47下载
- 积分：1
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matlabfunctions
详细的介绍了MATLAB函数的功能,对初学者较有用!(MATLAB functions are introduced in detail the function more useful for beginners!)
- 2010-12-26 12:17:10下载
- 积分：1
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nmpc
matlab非线性预测控制nmpc，源代码程序，很经典(matlab nonlinear model predictive control nmpc, source code, very classic)
- 2014-02-18 20:53:22下载
- 积分：1
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three
说明： 三相桥式全控整流电路，实现三相交流电的整流(three-phase full-controlled bridge rectifier circuit )
- 2010-04-16 00:17:29下载
- 积分：1
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rtejfgds
现有的代数特征的抽取方法绝大多数采用一维的方法，即首先将图像转换为一维向量，再用主分量分析（PCA）,Fisher线性鉴别分析（LDA）,Fisherfaces式核主分量分析（KPCA）等方法抽取特征，然后用适合的分类器分类。针对一维方法维数过高，计算量大，协方差矩阵常常是奇异矩阵等不足，提出了二维的图像特征抽取方法，计算量小，协方差矩阵一般是可逆的，且识别率较高。(existing algebra feature extraction method using a majority of the peacekeepers, First images will be converted into one-dimensional vector, and then principal component analysis (PCA), Fisher Linear Discriminant Analysis (LDA), Fisherfaces audits principal component analysis (KPCA), and other selected characteristics, then use the appropriate classification for classification. Victoria against an excessive dimension method, calculation, covariance matrix is often inadequate singular matrix, a two-dimensional image feature extraction method, a small amount of covariance matrix is usually reversible, and the recognition rate higher.)
- 2020-08-14 13:28:28下载
- 积分：1
