STTC

根据图像的灰度对图像进行分割，实现目标的提取(According to the image gray level image segmentation)

计算存在在电力市场的现货市场的现货价格、社会福利(calculate some parameter in spot market)

单步单纯型法，输入为系数矩阵，右端向量，目标函数系数向量，基变量下标，非基变量下标和基变量初始值(Step simplex method, the input for the coefficient matrix, right vector, the objective function coefficient vector, the base variable subscript, superscript and the non-basic variable initial value of base variable)

calculate to define the relation between a reference object and another object in the image using the superior value , according to the dilation of the reference object using mathematical morphology

有关AR模型的设计，以及模型参数的确定方法的选择(AR model on the design and model parameter selection method)

实现图像的JPEG压缩和解压的 Matlab程序(To achieve the JPEG image compression and decompression of the Matlab program)

一个包含常用特征提取方法的matlab工具包。内含 PCA, CCA, mnf, pls 、 KPCA, KCCA, kmnf, kpls 等算法的实现源码(a matlab toolkit Containing some common feature extraction methods . Containing PCA, CCA, mnf, pls, KPCA, KCCA, kmnf, kpls algorithm implementation source)

说明：  关于莱斯信道的仿真，进行分析及绘图，包含三个程序(rician_channel_right)

conventional simulink statcom

MUSIC算法[1] 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。(algorithm MUSIC is a method based on matrix feature space decomposition. From a geometric point of view, the signal processing of the observation space can be decomposed into signal subspace and noise subspace, it is clear that these two spaces are orthogonal. Signal subspace by the array received data covariance matrix and signal corresponding to the feature vector and noise subspace is by the covariance matrix of all minimum feature values (noise variance) corresponding to the feature vectors are composed. MUSIC algorithm is to use the orthogonal characteristics of these two complementary space to estimate the azimuth of spatial signals. All vectors of the noise subspace are used to construct spectral, and the peak position in all spatial azimuth spectra correspond to the direction of arrival of the signal. MUSIC algorithm greatly improves the direction finding resolution, and at the same time it is suitable for the antenna array of any shape, but the prototype MUSIC algorithm requir)