MATLAB7_0_learning

此程序为解线性方程组的Gauss-Serdel迭代法的源程序(This procedure for solving linear equations Gauss-Serdel source iteration)

digital bits logic libery using logic systems

性能比较好的LDA人脸识别代码一份，用lda对人脸进行识别(LDA face recognition code with good performance and recognition of human face with LDA)

in this file is distributed system in two case

oltage Profile Analysis for IEEE 30 Bus System Incorporating with UPFC

very simple watermarking using matlab. to hide a message in cover image..

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)

CV-AVR,GA-AVR,MPGA-SVR进行参数优化与预测 进行股票趋势预测与分析(CV-AVR, GA-AVR, MPGA-SVR for parameter optimization and prediction, stock trend prediction and analysis)

说明：  最优化 LM算法, 实现二次函数为目标函数的非线性优化(L-M Optimization method)

这是交织编码的源程序，使用起来很方便，而且能够运行！(This is a mixed encoding of the source, easy to use and can run!)