-
DSP1_2
实现补长可变的LMS程序，并给出了学习曲线的绘制程序，对大家应该有帮助的！(Realize variable length LMS fill procedures, and given the learning curve of the mapping procedures, the U.S. should have helped!)
- 2007-08-22 09:45:24下载
- 积分：1
-
lpsolve
说明： 数字仿真的lpsolve-整数规划工，matlab上使用，6.5以上版本，学习整数规划时很有用(Digital Simulation lpsolve-integer programming works, matlab used version 6.5 and above, learning is useful when the integer programming)
- 2008-11-08 10:17:30下载
- 积分：1
-
Fisher
fisher分类器matlab代码，只具有二分类特性，可运行(fisher classifier matlab code, has only two classification features, you can run)
- 2013-07-16 15:40:04下载
- 积分：1
-
RobustadaptiveKalmanfilteringwithunknowninputs
The standard optimum Kalman filter demands complete
knowledge of the system parameters, the input forcing functions, and
the noise statistics. Several adaptive methods have already been devised
to obtain the unknown information using the measurements and
the filter residuals.(The optimum standard Kalman filter demand 's complete knowledge of the system parameters. the input forcing functions. and the noise statistics. Several adaptive met hods have already been devised to obtain the unk nown information using the measurements and th e filter residuals.)
- 2007-03-10 17:32:22下载
- 积分：1
-
matlab
MC随机仿真/傅里叶级数实验/数值积分与函数极值实验等共11类Matlab常用源程序(A MC random simulation/Fourier progression Experimental/numerical integration and function extremum experiments of 11 Matlab commonly used source)
- 2013-02-02 15:51:32下载
- 积分：1
-
siftdescriptormatlab
this function returns the SIFT descriptors DESCR of the SIFT frames P defined on the octave G of the Gaussian scale space.
- 2011-10-09 14:25:51下载
- 积分：1
-
基于MATLAB的多方法去噪
三幅经典的图像（lena、peppers、barbara）分别加上了高斯噪声、乘性噪声、椒盐噪声。高斯白噪声：均值为0，方差为0.05。椒盐噪声：噪声密度0.10。 乘性噪声：这里为均匀分布的均值为0，方差为0.10的噪声。 (1)、使用均值滤波、中值滤波进行测试，得出去噪效果并分析； (2)、使用高斯低通滤波器、巴特沃斯滤波器进行测试，得出去噪效果并分析； (3)、使用PCA进行测试，得出去噪效果并分析； (4)、使用小波变换进行测试，可以采用‘db’小波、‘sym’小波等，也可以自己去选择一些小波函数，得出去噪效果并分析； (5)、自己选择一些方法、得出去噪效果并分析
- 2021-05-07下载
- 积分：1
-
PCA and ICA Package
This package contains functions that implement Principal Component Analysis (PCA) and its lesser known cousin, Independent Component Analysis (ICA).
PCA and ICA are implemented as functions in this package, and multiple examples are included to demonstrate their use.
In PCA, multi-dimensional data is projected onto the singular vectors corresponding to a few of its largest singular values. Such an operation effectively decomposes the input single into orthogonal components in the directions of largest variance in the data. As a result, PCA is often used in dimensionality reduction applications, where performing PCA yields a low-dimensional representation of data that can be reversed to closely reconstruct the original data.
In ICA, multi-dimensional data is decomposed into components that are maximally independent in the negentropy sense. ICA differs from PCA in that the low-dimensional signals do not necessarily correspond to the directions
- 2022-01-31 15:51:51下载
- 积分：1
-
zizuokalman
扩展卡尔曼滤波器matlab源程序代码，main 是主函数! 运行即可。p184是一个示意图!
另外两个文件是滤波模型。(kalman filter)
- 2010-12-11 20:29:08下载
- 积分：1
-
tftb-0.2
说明： 短时傅里叶分析，时频分析等，m文件集合，tftb(Short time Fourier analysis, time-frequency analysis)
- 2010-04-20 19:57:34下载
- 积分：1
