PROG1

说明：  此为台湾大学林智仁教授及所带领的团队编写的关于svm的程序包，简单实用。(This is the National Taiwan University Professor Lin Zhiren and the team led the preparation of the package on the svm, simple and practical.)

基于Anti-我indupdePID控制 包含M语言和Simulink仿真(I indupdePID Anti-based control language and Simulink simulation contains M)

IIR滤波器的设计，脉冲响应不变法和双线性法都有。 巴斯沃斯滤波器 椭圆滤波器 切比雪夫滤波器(The design of IIR filters, the impulse response have the same method and the bilinear method. Bath Butterworth filter elliptic filter Chebyshev filter)

图像去雾技术(Haze Removal using dark channel)(Haze Removal)

与大家分分享一篇发表的小论文啊，水平有限，希望大家一起学习，共同进步。(Share article published papers and divide it, ah, the limited level of hope with learning and common progress.)

这是Matlab的中文实用手册，内容很齐全，对学习和开发Matlab有很重要的帮助，找了老半天才找到这样齐全的文档，又需要的可以下载。(This is a practical handbook of Chinese Matlab, which is very important of learning and the development of Matlab,this is not easily fined, also in need can be downloaded)

We construct a generalization of affine-scaling vector fields for matrix linear programming problems. We discuss various properties of these vector fields and suggest a generalization of Dikin s algorithm.

离散数据的傅里叶正交基拟合，matlab程序，可修改(Fourier orthogonal basis of discrete data fitting, matlab program can be modified)

MUSIC算法是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(MUSIC algorithm is a matrix decomposition method based on feature space. From the geometric point of view, the observed spatial signal processing can be decomposed into signal subspace and noise subspace, it is clear that the two spaces are orthogonal. The signal received by the array to the subspace of the covariance matrix of the signal component corresponding eigenvectors, the noise subspace of the covariance matrix of all by the smallest eigenvalue (noise variance) eigenvectors corresponding to the composition. MUSIC algorithm is the use of orthogonal properties between these two complementary space to estimate the spatial orientation of the signal. Noise subspace of all vectors are used to construct the spectrum, all the spatial orientation of the spectrum corresponding to the peak position of the signal wave direction. MUSIC algorithm greatly improves the resolution measurements, while the antenna array adapted to any shape, but the prototype MUSIC algorithm requires to wave sign)

一种降维方法，是非线性降维方法，也是非监督降维方法。(A dimensionality reduction method is a nonlinear dimensionality reduction method and an unsupervised dimensionality reduction method.)