CalculateUserPosition

用MATLAB计算正弦波的波形数据.并产生.H档案(Calculated using MATLAB sine wave of waveform data. And produce. H file)

本程序为小波滤波器设计用于mallat算法的应用(procedures for the wavelet filter design algorithms for the application of Mallat)

电动汽车动力性，爬坡性，续驶里程等性能仿真(The electric car performance simulation )

混沌理论中用于计算滞后时间t和维数m的C-C方法，，matlab程序(Chaos theory CC method used to calculate the lag time t and dimension of m ,, matlab program)

对一维信号进行OMP重构，基于压缩感知的信号重构(OMP reconstruction, one-dimensional signal based on compressed sensing signal reconstruction)

matlab使用垂直Sobel算子，自动选择阈值 [VSFAT Threshold]=edge(f, sobel , vertical ) 边缘探测 figure,imshow(f),title( 原始图像 ), 显示原始图像 figure,imshow(VSFAT),title( 垂直图像边缘检测 ) 显示边缘探测图像 使用水平和垂直Sobel算子，自动选择阈值 SFST=edge(f, sobel ,2) figure,imshow(SFST),title( 水平和垂直图像边缘检测 ) 显示边缘探测图像 使用指定45度角 Sobel算子滤波器，指定阈值 s45=[-2 -1 0 -1 0 1 0 1 2] SFST45=imfilter(f,s45, replicate ) SFST45=SFST45>=2 figure,imshow(SFST45),title( 45度角图像边缘检测 ) 显示边缘探测图像 (matlab I=rgb2gray(I0) J0=double(I) [VSFAT Threshold]=edge(f, sobel , vertical ) figure,imshow(f),title figure,imshow(VSFAT),title)

DWT is any wavelet transform for which the waveletsDaubechies wavelets are discretely sampled. The code uses

GVF SNKE 模型matlab源代码(gvf snake)

自己编写的有关Matlab中MUSIC算法下的目标方位估计 (I have written about the MUSIC algorithm in Matlab DOA Estimation)

此为模式识别中Parzen窗法估计概率密度函数。 全部程序流程如下： 1、读取FAMALE.TXT文件把身高或体重给数组，并求x1的样本数N1和窗宽、体宽； 2、读取MALE.TXT文件把身高或体重给数组，并求x2的样本数N2和窗宽、体宽； 3、读取Test2.txt文件把对应的身高或体重给数组A并求A的样本数M； 4、利用Parzen窗法估计概率密度函数判别男女性别； 5、对本判别的错误率进行统计。 (This is the pattern recognition Parzen window method to estimate the probability density function . All program flow is as follows : 1 , read FAMALE.TXT file to height or weight to the array, and find the number of samples x1 N1 and window width , body width 2 , read MALE.TXT file to height or weight to the array, and find the number of samples x2 N2 and window width , body width 3 , read Test2.txt file to the corresponding height or weight requirements for the array A and A is the number of samples M 4 , the use of Parzen window method to estimate the probability density function of gender discrimination 5 , determine the error rate of the statistics . )