sigpower

simple matlab examples

利用matlab对图形进行辨识，图形是基本图形，包括 矩形 圆 半圆等(Using matlab to identify graphics, graphics is a basic graphics, including a round semicircle, such as rectangular)

关于数字水印的matlab源代码，将彩色图像的rgb分量提取出，分别嵌入水印(About digital watermarking matlab source code, the rgb color image to be extracted components, respectively, embedded watermark)

介绍matlab神经网络工具箱的命令,是使用神经网络人员的经典手册(Introduction matlab neural network toolbox of command, is to use the classic neural network personnel handbook)

阵列处理程序，实现一阶前、后、双向线性预测，实现二阶前、后、双向线性预测，(Array processing procedures, to achieve an order before and after, two-way linear prediction to achieve second-order front and rear, two-way linear prediction,)

independent component analysis (ICA)

包括脚本文件和函数文件形式，包括AHP，因子分析，回归分析，聚类分析，到达过程是的泊松过程，欢迎大家下载学习，粒子图像分割及匹配均为自行编制的子例程，最小均方误差（MMSE）的算法，基于负熵最大的独立分量分析，用于特征降维，特征融合，相关分析等。( Including script files and function files in the form, Including AHP, factor analysis, regression analysis, cluster analysis, Arrival process is a Poisson process, Welcome to download the study, Particle image segmentation and matching subroutines themselves are prepared, Minimum mean square error (MMSE) algorithm, Based on negative entropy largest independent component analysis, For feature reduction, feature fusion, correlation analysis.)

简单的单位转换系统，用matlab进行实现，直接在matlab下运行(Simple unit conversion system using matlab to achieve a direct run in matlab)

matlab大地主题正算，适合测绘学生哦(matlab Geodetic positive operator, suitable for mapping student oh)

RPCA (Robust Principal Component Analysis)是目前用于矩阵填充、图像去噪的最有效的优化方法。该代码是求解RPCA的一种数值算法——Exact ALM（Exact Augmented Lagrange Multiplier）(The most basic form of the exact ALM function is [A, E] = exact_alm_rpca(D, λ), and that of the inexact ALM function is [A, E] = inexact_alm_rpca(D, λ), where D is a real matrix and λ is a positive real number. We solve the RPCA problem using the method of augmented Lagrange multipliers. The method converges Q-linearly to the optimal solution. The exact ALM algorithm is simple to implement, each iteration involves computing a partial SVD of a matrix the size of D, and converges to the true solution in a small number of iterations. The algorithm can be further speeded up by using a fast continuation technique, thereby yielding the inexact ALM algorithm.)