sands

实现基于PCA变换的故障信号检测，可以区分正常信号和故障信号。(Realize the fault signal detection based on PCA transform, can distinguish between normal signal and fault signal.)

用于全息图计算的Gerchberg–Saxton (GS) algorithm，(Calculating Hologram using Gerchberg-Saxton (GS) algorithm)

一个凸优化matlab工具箱，可以快速求解凸优化问题，具有很好的效果(A convex optimization matlab toolbox, you can quickly solve the convex optimization problem, with very good results)

MVES for MATLAB it is a simple example of Bayesian Nonnegative Matrix Factorization with Volume Constraints. also try for paper.

clark transformer in matlab

face recognition matlab code preprocessing

这是针对永磁同步电机的矢量转矩控制的程序，经过验证，可以运行，也看作为参考。(This is a vector of permanent magnet synchronous motor torque control procedures, validated, you can run, but also watch as a reference.)

PNM Toolbox，用于Matlab的各种各样对图像处理的源码库(PNM Toolbox for Matlab variety of image processing code libraries)

在基于Mean-Shift的目标跟踪算法中，尺度自适应机制是算法研究的一个重要方向。一种典型的方法采 用Lindeberg的尺度空间理论以获取目标尺度信息。但现有算法中将尺度由2．D矢量压缩为1一D量，未能精细地 刻画目标仿射变换时的尺度变化，从而限制了算法的适用范围。为此，该文将尺度维1．D滤波推广至2一D，构造得 到了相应的垂D尺度空间，并利用窄间维和尺度维的Mean-Shift交替迭代，实现了同时在空间位置和尺度方向对 目标的有效跟踪，提高了算法在目标尺度变化时的自适应性，并扩大了算法的适用范围。 关键(Scale adaptive mechanism in the target tracking algorithm based on Mean-Shift algorithm is an important direction of research. A typical method using Lindeberg' s scale space theory to obtain the target scale. However, the existing algorithms will scale from 2. D vector compression for 1-D volume, not fine to portray the target affine transformation of scale changes, thus limiting the scope of application of the algorithm. To this end, the paper will scale dimension. D filter to the 2-D structure has been the vertical D scale space and the use of narrow inter-dimension and scale dimension of the Mean-Shift alternating iteration, effective tracking of the target position in space and scale direction to improve the self-adaptive algorithm when the target scale changes, and to expand the scope of application of the algorithm. Key)

根据小波层之间相关性的改进阈值去噪，含有相关性分析,希望对大家有用，欢迎大家来下载(Improved correlation between wavelet thresholding based on layer, correlation analysis contains, I hope useful, welcome to download)