lms_filter

说明：  对心直动凸轮机构压力角的计算 计算斜齿轮公法线长度及其偏差 优化设计的分析与计算(Direct action on the heart cam pressure angle calculating the length of common normal helical gear calculation and deviation analysis and calculation of optimal design)

说明：  matlab实验 用给定的多项式，y=x3-6x2+5x-3，产生一组数据(xi,yi，i=1,2,…,n),再在yi上添加随机干扰(可用rand产生(0,1)均匀分布随机数,或用rands产生N(0,1)分布随机数)，然后用xi和添加了随机干扰的yi作的3次多项式拟合，与原系数比较。 如果作2或4次多项式拟合，结果如何？ (matlab experiment with a given polynomial, y = x3-6x2+5 x-3, generated a set of data (xi, yi, i = 1,2, ..., n), then add random noise in yi (available rand generation (0,1) uniformly distributed random number, or rands generated N (0,1) random numbers), then xi and yi to add a random disturbance polynomial fitting for the three times, compared with the original coefficient . If 2 or 4 times for polynomial fitting, the result?)

This file contains a summary of what you will find in each of the files that make up your SearchPath application.(This file contains a summary of what you wil l find in each of the files that make up your Searc hPath application.)

图像灰度梯度求解 matlab程序 可用于求解图像的灰度梯度值，多幅图像之间比较清晰度等。(Solving matlab image gray gradient gray gradient program can be used to solve the values ​ ​ of the image, more clarity between multiple images.)

MATLAB图像处理实现螺纹识别 源程序代码(MATLAB image processing to realize thread to identify the source code )

matlab codes to determine normalized correlation, psnr and log of an image

用matlab仿真的空时分组码在OFDM下的实现(Matlab simulation using space-time block codes in OFDM to achieve under the)

直线阵采用切比学夫加权控制主旁瓣比，抑制噪声。此程序基于常规波束形成实现，程序思路清晰，适合刚接触阵列信号处理的人参考。(Linear array by cutting the right of control over the primary school laid upon the side-lobe ratio, noise suppression. This program is based on conventional beamforming implementation process with clear ideas for people new to reference array signal processing.)

说明：  20套+精华图标+等级图标+置顶图标+打包下载(20 sets+ essence+ rating icon icon icon+ package+ Top Download)

说明：  这个函数产生了归一化的基于逆DFT方法的瑞利采样。(This function generates normalized rayleigh samples based on Inverse DFT method)