JPEG

高阶频谱分析工具(数字信号处理Matlab例程)(higher order spectral analysis tools (digital signal processing Matlab routines))

求解线性规划逆问题的光滑牛顿法的程序，时间很快，精确度也很高(Solving the inverse problem of linear programming procedure smooth Newton method, the time soon, is also very high accuracy)

abc frame modelling of induction motor and its free acceleration mode study

说明：  利用floyd,ford,dijikstra算法求解图论中的最短路问题(Using Floyd, Ford, Dijkstra algorithm to solve the shortest path problem in graph theory)

MATLAB程序波片偏振仿真打包文档教程MATLAB simulation program package documentation wave plate polarization Tutorial(MATLAB simulation program package documentation wave plate polarization Tutorial MATLAB simulation program package documentation wave plate polarization Tutorial)

语音信号处理 时域分析 短时能量 短时平均过零率 短时自相关函数( a=wavread( beifeng.wav ) subplot(6,1,1),plot(a) N=32 for i=2:6 h=linspace(1,1,2.^(i-2)*N)； )

This paper presents a new approach to image segmentation using Pillar K-means algorithm. This segmentation method includes a new mechanism for grouping the elements of high resolution images in order to improve accuracy and reduce the computation time. The system uses K-means for image segmentation optimized by the algorithm after Pillar. The Pillar algorithm considers the placement of pillars should be located as far from each other to resist the pressure distribution of a roof, as same as the number of centroids between the data distribution. This algorithm is able to optimize the K-means clustering for image segmentation in the aspects of accuracy and computation time. This algorithm distributes all initial centroids according to the maximum cumulative distance metric. This paper evaluates the proposed approach for image segmentation by comparing with K-means clustering algorithm and Gaussian mixture model and the participation of RGB, HSV, HSL and CIELAB color spaces.

基于变量展开和主元时变协方差的MPCA的MATLAB小程序，希望对有需要的人有所帮助哈(based variable-wise unfolded multi-way MPCA)

EEG signal analysez in matlab We hope to useful

matlab simulation example