GMmodelpretect

这是个用Durbin递归求预测误差滤波器和他的输出，是电子所邹谋炎老师给出的例程。(This is a demand by Durbin recursive prediction error filter, and his output is of Electronics Zou Mou-Yan teachers given routine.)

两种比较常见的最短路径的matlab算法 (Two of the more common of the shortest path algorithm matlab)

用于心电信号检测，包括RR波形检测，ＱＲＳ检测，能量检测模的最大值最小值(ECG for detection, including the RR wave detection, QRS detection, energy detection module Maximum Minimum)

描述变论域模糊控制的重要论文，相信对研究变论域的朋友有帮助(Describe the variable universe fuzzy control of key papers, I believe that the study of variable universe of friends to help)

在matlab环境下结构模态参数识别，振型、频率都有很高的精度(Structural modal parameter identification in the Matlab environment, have a high frequency modes accuracy)

深度图像遮挡边缘检测，阈值法，MATLAB源码(Depth of the image edge detection block, threshold method, MATLAB source)

计算时间序列的关联维，可评价时间序列的相关性(The correlation dimension of time series can be calculated and the correlation of time series can be evaluated)

gabor变换——gabor变换能有效的一直字符的噪声，变形、断裂、模糊以及亮度不均匀图像干扰(gabor)

买原创力YCL2812开发板时，赠送的源程序，适合做数字信号处理的朋友参考，谢谢！ (Buy originality YCL2812 development board, the gift of the source, suitable for digital signal processing reference to a friend, thank you!)

％ EM algorithm for k multidimensional Gaussian mixture estimation ％ ％ Inputs: ％ X(n,d) - input data, n=number of observations, d=dimension of variable ％ k - maximum number of Gaussian components allowed ％ ltol - percentage of the log likelihood difference between 2 iterations ([] for none) ％ maxiter - maximum number of iteration allowed ([] for none) ％ pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) ％ Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) ％ ％ Ouputs: ％ W(1,k) - estimated weights of GM ％ M(d,k) - estimated mean vectors of GM ％ V(d,d,k) - estimated covariance matrices of GM ％ L - log likelihood of estimates ％( EM algorithm for k multidimensional Gaussian mixture estimation Inputs: X (n, d)- input data, n = number of observations, d = dimension of variable k- maximum number of Gaussian components allowed ltol- percentage of the log likelihood difference between 2 iterations ([] for none) maxiter- maximum number of iteration allowed ([] for none) pflag- 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) Init- structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) Ouputs: W (1, k)- estimated weights of GM M (d, k)- estimated mean vectors of GM V (d, d, k)- estimated covariance matrices of GM L- log likelihood of estimates)