heart_rate_qrs_detect

一本根据自己学习的经历编写的matlab中的GUI编程的小册子，希望对大家有用(This is a book which is wirten by myself about matlab gui programing.I holp it s very usefull for you)

说明：  数字图像处理(实验二) 图像的读、写、显示和点运算 1、掌握函数imadjust与对数和对比度拉伸变换； 2、掌握直方图的绘制和直方图均衡化变换； 3、掌握空间滤波。 (Digital image processing (Experiment 2). the image to read, write, display and point operations a master function imadjust with the number and contrast stretching transformation 2, control histogram drawing and the histogram equalization transformation 3, master spatial filtering .)

跳频（占空比为1）4fsk的部分频带干扰误码率计算，这个程序是基于matlab的，自己编的，呵呵(Frequency Hopping (duty cycle 1) 4fsk the partial band interference bit error rate, this procedure is based on matlab, and their series, Oh)

详细讲解matlab中simMechanics中各模块的功能及用法。(Detailed explaining the matlab in simMechanics in function of each module and usage.)

针对基本无线传感器网络DV-Hop定位算法中，计算平均跳距时产生偏小误差的原因，提出了基于平均跳距修正的DV-Hop算法。改进算法中，引入信标节点个数比例、所有信标节点平均跳距的最大值以及所有信标节点平均跳距的平均值三个因子，并采用它们对平均跳距进行修正。通过Matlab软件对算法进行仿真验证，结果表明，改进后的 DV-Hop 算法有效降低了未知节点的定位误差，是一种可行的无线传感器网络节点定位解决方案。(DV-Hop localization algorithm for wireless sensor networks, we calculate the average hop distance small error of reasons, raised the DV-Hop algorithm based on the average hop distance correction. Improved algorithm, the proportion of the number of nodes, the introduction of beacons, the beacon node average maximum jump distance as well as all the beacon nodes average jump from the average of three factors, and their average hop distance correction. Matlab software simulation results show that the improved DV-Hop algorithm effectively reduce the unknown node positioning error, the solution is a viable wireless sensor network node positioning algorithm.)

This program simulate the suspension system for a passenger car. It employes Sliding Mode Control, Skyhook Damper, Fuzzy Logic Control to control Semi-Active Suspension System

说明：  这里面介绍了很多关与先进PID控制及其MATLAB仿真(This introduced a lot of inside clearance and advanced PID control and MATLAB simulation)

说明：  simulink工具箱的入门PPT讲解，有附带m文件，强烈推荐(simulink toolbox PPT talks, with m files are strongly recommended)

局部线性嵌入算法，由laurance等人于2000年science上发表，广泛应用于图像处理模式识别等领域，是一种流形学习算法。(the algorithm of locally linear embedding)

说明：  matlab实现K-L变换,可用于图像去噪，地震资料去噪(K-L transform. It can be used in noise reduction and image enhancement)