matlab-maths-fountcion

两电平脉宽调制变换器，希望对于电力电子与电力传动专业研一学生有用。(Two-level PWM converter, hope for the power electronics and power transmission expertise useful to a student research.)

MATLAB在概率统计中的若干命令和使用格式，这些命令存放于MatlabR12ToolboxStats中。(MATLAB in Probability and Statistics in the number of orders and the use of format, the commands stored in MatlabR12ToolboxStats in.)

对于移动通信系统主要有两类衰落：大规模衰落和小规模衰落。大规模衰落表示由于大范围内移动而引起的平均信号能量的减少或路径损耗。而小规模衰落则表现为两种机制：信号的时延扩展和信道的时变特性。对于无线应用，信道的时变特性是由于发射机和接收机相对移动而造成传输路径的变化。这些传播条件的变化速率影响衰落率。如果存在大量反射路径而不存在视行信号分量，此时的小规模衰落称为瑞利衰落(Rayleigh fading)，接收信号的包络由瑞利概率分布函数统计描述。这种衰落也就是这次实验我准备研究的(system for mobile communications fading there are two main categories : large-scale and small-scale fading fading. In view of large-scale decline of large scale movement of the average energy of the signal path to reduce or loss. And the decline of small-scale, it was manifested as two mechanisms : signal delay expansion and channel time-varying characteristics. For wireless applications, channel time-varying characteristics as transmitter and receiver relative movement caused transmission path changes. These conditions spread of the rate changes affect the rate of decline. If there is a large number of pathways exist without depending on the signaling component, At that time, the decline of small-scale known as Rayleigh fading (Rayleigh fading). The received signal envelope from Rayleigh )

Automated Tongue Feature Extraction for ZHENG Classification in Traditional Chinese Medicine

全桥整流电路的MATLAB仿真 (Simulation using MATLAB )

数值计算方法 三段线性插值matlab程序，可以输出各段函数(Numerical methods linear interpolation matlab program three sections, each section can be output function)

Name: gmac = global minimization of the active contour model ％ Description: see paper "Fast Global Minimization of the Active Contour/Snake Model" in JMIV07 ％ Author: Xavier Bresson (xbresson@math.ucla.edu) ％ Lastest version: 07-09-21(Name: gmac = global minimization of the active contour model Description: see paper Fast Global Minimization of the Active Contour/Snake Model in JMIV07 Author: Xavier Bresson (xbresson@math.ucla.edu) Lastest version: 07-- 09-21)

Ruby on rails 实践 代码 帮助你学习ror开发(Ruby on rails ror practice code developed to help you learn)

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.

产生一个随机输出信号在瑞利信道上可以用来生成MATLAB仿真模块。(This program will generate a random signal output by Rayleigh channel can be used to generate MATLAB simulation module.)