Kmeans

说明：  基于小波变换模极大的多尺度图像边缘检测matlab源代码，该算法采用的是样条小波，为了更好的检测边缘，用多孔算法代替了mallat算法。该算法和mallat快速算法主要区别： 1 多孔算法不需要抽取偶数样本，所以奇异检测定位更准确，相应的重构是不需要插零。2 多孔算法需要对滤波器进行伸缩。(based on wavelet transform modulus maxima of multiscale edge detection Matlab source code, The algorithm used is kind of wavelet, in order to better detect the edge of porous algorithm instead of Mallat algorithm. The algorithm and fast algorithm Mallat major difference : an algorithm porous not even take samples So singular position detection more accurate, the corresponding Reconstruction interpolation is not zero. Two porous algorithm need to filter extendable.)

ofdm matlab implementation details

kalman滤波的源代码，主要用于运动跟踪时的目标预测，现在只有matlab的，(Kalman Filtering source code, mainly for tracking the target forecast Now only Matlab,)

一个简单的，低成本的装置的设计优化 对均匀光纤布拉格光栅的布拉格波长 光栅（FBG）。调谐范围是通过 为45.34 nm的基于一个原则 在强度均匀矩形梁 模拟。 (A simple, low cost setup was designed for tuning the Bragg wavelength for a uniform fiber Bragg grating (FBG). The tuning range was achieved by as much as 45.34 nm based on the principle of a rectangular beam of uniform strength in the simulation.)

Programs using Matlab language that can be used as exercices

matlab simulation of MPPt of PV array

此程序采用FDTD方法编写，可以用来观察和验证电磁波的绕射(This program is written using the FDTD method can be used to observe and verify the electromagnetic wave diffraction)

脑电波ICA算法进行脑电波提取有用的波段，用ICa 算法进行波形数据分析，得到有用矩阵及合适数据(ICA algorithm to EEG brain waves extracted useful band, with ICa algorithm waveform data analysis, a useful and appropriate data matrix)

matlab example psmsm

RBF网络能够逼近任意的非线性函数，可以处理系统内的难以解析的规律性，具有良好的泛化能力，并有很快的学习收敛速度，已成功应用于非线性函数逼近、时间序列分析、数据分类、模式识别、信息处理、图像处理、系统建模、控制和故障诊断等。(RBF network can approximate any nonlinear function, can handle regular system are difficult to resolve, with good generalization ability, and fast convergence rate, it has been successfully applied to nonlinear function approximation, time series analysis, data classification, pattern recognition, information processing, image processing, system modeling, control and fault diagnosis.)