资源列表
lrr(motion_face)
- 本程序是用来处理图像，把代表图像的矩阵分解成为一个低秩矩阵和一个稀疏矩阵~-This procedure is used to deal with the image, the representative image of the matrix decomposed into a low-rank matrix and a sparse matrix ~
as_rpca
- 本程序主要是处理图像的，主要是用于求解被高幅度尖锐噪声而不是高斯分布噪声污染的信号分离问题~把问题矩阵分解成一个低秩表示的矩阵和一个稀疏矩阵，优化目标函数，用ALM方法是求解的~-This procedure is mainly to deal with the image, mainly for solving high-amplitude sharp noise rather than Gaussian noise distribution of the signal separation
latlrr_code
- 潜在低阶表示，简称为LATLRR，主要用于实现子空间的分割以及其特征提取。其实在LRR的基础上进一步探索优化,以更好的解决问题~-Latent low-order representation, referred to as LATLRR, is mainly used to realize the sub-space segmentation and its feature extraction. In fact, based on the LRR to further explore and
ALM
- 本程序主要是用于求解目标函数的凸优化问题。-This procedure is mainly used to solve the objective function of the convex optimization problem.
deblurring
- 本程序主要是应用于对模糊图像的处理,yunxingxiaoguolianghao,zhidecankao~-This procedure is mainly applied to the blurred image processing ~
svm-master
- 这是svm工具包，功能比较齐全，通过运行，效果不错，可以实现高光谱图像分类-This is the SVM toolkit, the function is relatively complete, through the operation, the effect is good, can achieve hyperspectral image classification
machine-learning
- 最小二乘学习算法,对函数进行拟合，核函数为三角函数，减小过拟合现象-Least square learning algorithm of translation
appl3_1
- 频域滤波，然后对滤波后的信号进行傅里叶逆变换，得到时域信号并画图！-Frequency domain filtering, and then the signal after the inverse Fourier transform, the time-domain signal and draw!
appl3_2
- 频域滤波，然后对滤波后的信号进行傅里叶逆变换，得到时域信号并画图！-Frequency domain filtering, and then the signal after the inverse Fourier transform, the time-domain signal and draw!
appl3_3
- 频域滤波，然后对滤波后的信号进行傅里叶逆变换，得到时域信号并画图！-Frequency domain filtering, and then the signal after the inverse Fourier transform, the time-domain signal and draw!
appl3_4
- 频域滤波，然后对滤波后的信号进行傅里叶逆变换，得到时域信号并画图！-Frequency domain filtering, and then the signal after the inverse Fourier transform, the time-domain signal and draw!
appl3_4_1
- 频域滤波，然后对滤波后的信号进行傅里叶逆变换，得到时域信号并画图！-Frequency domain filtering, and then the signal after the inverse Fourier transform, the time-domain signal and draw!