DQPSk

国外牛人写的聚类算法，是k-means算法的升级版(Written by foreign cattle clustering algorithm, k-means algorithm is an upgraded version of)

this will perform thresholding operation on input image

FIR & IIR Digital Filters

用卡尔曼滤波算法估计一个四阶线性预测模型的最优权值，并附有仿真图形(Kalman filter algorithm to estimate the optimum weights of a fourth-order linear prediction model with simulation graphics)

Runge–Kutta algorithm with matlab

m序列的matlab实现，m序列的matlab实现(Implementation of m sequences)

光子筛孔分布的例程，环数不同，用于光子筛成像时使用(Photon sieve distribution routines different rings, used for imaging photon sieve)

Fuzzy c-means clustering (FCM) with spatial constraints (FCM_S) is an effective algorithm suitable for image segmentation. Its effectiveness contributes not only to introduction of fuzziness for belongingness of each pixel but also to exploitation of spatial contextual information. Although the contextual information can raise its insensitivity to noise to some extent, FCM_S (1) still lacks enough robustness to noise and outliers and (2) is not suitable for revealing non-Euclidean structure of the input data due to the use of Euclidean distance (L2 norm).

discription of the gaussian distrbution

离散傅里叶变换时实现信号频域分析的第一步，用matlab实现对离散傅里叶变换的描述。(Discrete Fourier transform when the signal frequency domain analysis to achieve the first step, using matlab to achieve a description of discrete Fourier transform.)