data

learning matlab this file contains information about matlab. programming etc..

this is a matlab code of audio compression

基本的matlab程序希望有原码的高手 多多提供共同学习(Matlab basic program hope to have the original code to provide a common learning more players)

These four files are intended for addingdeleting nodes and edges in biograph object

Code for Guitar Tuner using strobers

任务： 1） 借助MATLAB画出误差性能曲面和误差性能曲面的等值曲线（参考PPT2.1第17页的两幅图）； 2） 写出最陡下降法以及LMS算法的计算公式（取 ）； 3） 用MATLAB产生方差为0.05, 均值为0白噪音S(n)，并画出某次采样得到的波形（即产生任意一个噪声随机序列）； 4） 根据 2）中的公式，并利用 3）中产生的S(n)，在 1）中的误差性能曲面的等值曲线上叠加画出采用最陡下降法以及LMS法时H(n)的在叠代过程中的轨迹曲线（参考PPT2.1第17页的右下图的曲线1和曲线2）。 5）用MATLAB计算并画出LMS法时 随时间n的变化曲线（对应S(n)的某一次的一次实现）和e(n)波形； 注意：某一次实现的结果并不能从统计的角度反映实验的结果 的正确性，为得到具有统计特性的实验结果，可用足够多次的 实验结果的平均值作为实验的结果。用MATLAB计算并画出 采用LMS法时，J(n)的100次实验结果的平均值随时间n的变 化曲线（即 生成随机噪声信号并计算结果，重复执行100次， 求平均结果）。 6）在 1）中的误差性能曲面的等值曲线上，叠加画出采用LMS法得到的100次实验中的H(n)的平均值的轨迹曲线； (Task: 1 ) Draw with MATLAB error performance surface and surface contour error performance curve ( refer PPT2.1 two chart on page 17 ) 2 ) Write the steepest descent method and the LMS algorithm formula ( take ) 3 ) Using MATLAB to generate variance of 0.05 with a mean of 0 white noise S (n), and draw a particular sampling waveform ( ie, any noise generated random sequence ) 4 ) based on 2 ) of the formula , and use 3 ) generated in S (n), in a ) the error performance curves superimposed on the surface contour plot using the steepest descent method and the LMS method when H (n) the iterative process in the trajectory curve ( refer PPT2.1 page 17 bottom right of the curves 1 and 2 ) . 5 ) using MATLAB LMS method is used calculate and draw the curve with time n (corresponding to S (n) of a first implementation of a ) and e (n) waveform Note : in a first implementation of the results are not reflected from a statistical point of view of accuracy of the experimental results ,)

功率谱估计 music算法matlab实现(music algorithm of power spectral estimation and its realization)

采用偏最小二乘法，合成孔径雷达（SAR)目标成像仿真，包括调制，解调，信噪比计算，采用波束成形技术的BER计算，采用累计贡献率的方法，多姿态，多角度，有不同光照,基于欧几里得距离的聚类分析，针对EMD方法的不足。( Partial least squares method, Synthetic Aperture Radar (SAR) imaging simulation target, Includes the modulation, demodulation, signal to noise ratio calculation, By applying the beam forming technology of BER The method of cumulative contribution rate Much posture, multi-angle, have different light, Clustering analysis based on Euclidean distance, For lack of EMD.)

物流路径规划，节约里程法的matlab实现(Logistics path planning, the MATLAB realization of the economical mileage method)

说明：  路径规划的避障，主要是ros之中路径的规划等等(Obstacle avoidance path planning)