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matlab
关于数字图像处理方面的matlab指导书籍，对新手有帮助(On digital image processing matlab guide books, help the novice)
- 2010-07-12 16:46:23下载
- 积分：1
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43_4GLTE_MATLAB_1097131
matlab describtion of lte phyisical layer
- 2013-01-28 23:23:16下载
- 积分：1
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bsscode
几种集体联合对角化的盲源分离算法，包括ACDC，SOBI,WEDGE,UWEDGE.(Several collective joint diagonalization for blind source separation algorithm, including ACDC, SOBI, WEDGE, UWEDGE.)
- 2010-05-08 08:53:00下载
- 积分：1
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matlab
通过对数据滤波来进行对静态效应的消噪过程，本代码使用了空间滤波、组合滤波、中值滤波等方法进行对比。(Through data filtering to eliminate noise of static effects of the process, the code uses the spatial filtering, a combination of filtering, median filtering and other methods were compared.)
- 2020-07-04 19:40:02下载
- 积分：1
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Linear_Algebra_Package
Linear algebra package
- 2012-12-31 08:34:52下载
- 积分：1
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MATLAB_Arithmetic
一个matlab实现IIR、FIR、LMS、NLMS等算法的m代码(a Matlab IIR, FIR, LMS, NLMS algorithm code m)
- 2007-02-28 10:37:37下载
- 积分：1
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chipKIT_Uno32_bysa
working your chipkit uno for arduino programs
- 2012-11-16 04:35:29下载
- 积分：1
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do_OFDM0
OFDM SYSTEM SIMULATION SORCE
- 2010-06-23 09:58:42下载
- 积分：1
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cp
说明： matlab 利用fisher线形判别方法进行模式识别(Matlab using linear discriminant method for pattern recognition)
- 2005-07-10 14:12:07下载
- 积分：1
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cor_ls
把辨识分成两步进行：第一步：利用相关分析法获得对象的非参数模型（脉冲响应或相关函数）；第二步：利用最小二乘法、辅助变量法或增广最小二乘法等，进一步求的对象的参数模型。如果模型噪声与输入无关，则Cor-ls相关最小二乘法（二步法）可以得到较好的辨识结果。Cor-ls相关最小二乘法（二步法）实质上是先对数据进行一次相关分析，滤除了有色噪声的影响，再利用最小二乘法必然就会改善辨识结果。能适应较宽广的噪声范围，计算量不大，初始值对辨识结果影响较小。但要求输入信号与噪声不相关(The identification is divided into two steps: the first step: using the correlation analysis method for object nonparametric model (impulse response or related function) The second step: using the least squares method, auxiliary variable method or augmented least squares method and so on, further for the parameters of the object model. If the model input noise and independent, the Cor- ls related least squares (two footwork) can get good recognition results. Cor- ls related least squares (two footwork) is essentially the data to a correlation analysis, filter in addition to the influence of colored noise, using least squares inevitable will improve the identification result. To adapt to a wide range of noise and calculation is not big, the initial value to identification results less effect. But for the input signal and noise are not related)
- 2012-12-28 16:13:22下载
- 积分：1
