ins

英文matlab编程教程。适合初学者学习。(Matlab programming tutorial in English. Suitable for beginners to learn.)

本程序是龙哥库塔方程及volterra级数的结合，目的是寻找最优解来求出volterra级数核的运算，该算法经过验证，具有可行性(This program is a combination of Long Ge Kuta equation and volterra series, the aim is to find the optimal solution to obtain nuclear volterra series of operations, the algorithm is proven, feasible)

说明：  可以方便地进行1,2范数的优化计算。具体针对稀疏恢复问题，最小二乘问题，约束优化问题的求解等。(It is convenient to optimize the calculation of 1,2 norms. Specifically for sparse recovery problem, least squares problem, constrained optimization problem and so on.)

RBF code using matlab

multiple source code for implementation of the various types of sort function methods mathematics program in matlab including graphs n figures.

This is a GUI based system. The GUI is invoked from the command line by typing "ui_start". The GUI is self explanatory. Tool tips are given in blue color. The cursor needs to be positioned on these for detailed explanation. The main file is "runsim.m". In these simulations the SISO option is not explicitly given. This is because the SISO result for a particular type of modulation is shown in every plot for purposes of comparison. This software has been tested on MATLAB version 6.0 and above with signal processing and communication toolbox options.(This is a GUI based system. The GUI is invoked from the command line by typing " ui_start" . The GUI is self explanatory. Tool tips are given in blue color. The cursor needs to be positioned on these for detailed explanation. The main file is " runsim.m" . In these simulations the SISO option is not explicitly given. This is because the SISO result for a particular type of modulation is shown in every plot for purposes of comparison. This software has been tested on MATLAB version 6.0 and above with signal processing and communication toolbox options.)

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.

阵列的方向图，其中包含均匀线列阵，均匀平面阵，均匀圆阵的方向图的源代码(The pattern of the array, which contains uniform linear array, uniform plane array, the source code of the uniform circular array pattern)

可以用matlab来验证经典的zipf分布定律。(Can be used to verify the classic zipf matlab distribution law.)

本程序重构各层低频和高频系数，画功率谱，横坐标为频率，纵坐标为功率，小波包分解最后一句是为显示小波包四层分解树结构(Reconstruction of the procedural layers of low and high frequency coefficients, draw power spectrum, the abscissa is the frequency, the vertical axis is power, wavelet packet decomposition is the last sentence of four to show the wavelet packet decomposition tree)