vfm

曲面光照matlab演示例程，通俗易懂，简单易学(Surface light matlab demo routines, user-friendly)

该程序属于行业小软件，用于读取二维地震剖面图的segy格式，将其转换成matlab适用的矩形。(The program is part of a small business software for reading 2D seismic profiles of segy format, convert it into matlab applicable rectangle.)

This toolbox implements the algorithm in a fairly general way in a C file that can be called from Matlab. It allows to perform the traditional NL-means for denoising (for both B&W and color images) but also to use an arbitrary set of patches to perform the denoising. (This toolbox implements the algorithm in a fairly general way in a C file that can be called f rom Matlab. It allows to perform the traditiona l NL-means for denoising (for both B)

说明：  数字信号处理的一些MATLAB源程序，均已经通过编译、仿真，请放心下载使用。(digital signal processing some of MATLAB source, we have already passed compiler, simulation, Please be assured download for use.)

PCA matlab程序，可以通过改解释率，确定主元个数(PCA matlab code)

是Grey Method的使用方法，方便好用，欢迎大家下载，如果有问题，也欢迎给我留言，我的QQ号码是：55101(Gray Method is the way to use of convenient and you are welcome to download, if there are problems, I also welcome to voice mail, my QQ number is : 55101)

二阶系统一次性完成的最小二乘法辨识程序，便于理解最小二乘辨识的原理(Completed a one-time second-order system least squares identification procedure, easy to understand the principle of least squares identification)

simulating simu link model for a electrical transient network without circuit breaker

统计信号处理-Fundamentals of Statistical Singal Processing习题答案(Statistical Signal Processing-Fundamentals of Statistical Singal Processing Exercises answer)

本论文的主要工作在于引入了一种新的特征提取方法----独立分量分析。独立分量分析的根本原理是通过分析多维观测数据间的高阶统计相关性，找出相互独立的隐含信息成分，完成分量间高阶冗余的去除及独立信源的提取(In this paper, the major work is the introduction of a new method of feature extraction independent component analysis. Independent component analysis of the fundamental principle is that through the analysis of multi-dimensional data between the relevance of higher-order statistics, independent of each other to identify the implied message composition, the completion of inter-component higher-order removal of redundant and independent source extraction)