RMTR_FaceDetectionCPUaGPU

这是一个使用希尔伯特黄变化提取心音包络的程序(extract the envelope of the heart sound based on hilbert-hung transfrom)

本源代码首先实现普通的直方图均衡化，再实现灰度级之间的均匀分布，可以有效的解决直方图均衡化过程中的灰度断层现象。使得图像更加的柔和，直方图分布更均匀。(Source code first to achieve common histogram equalization, and then to achieve uniform distribution between gray levels can be an effective solution in the process of histogram equalization, gray fault phenomenon. Makes the image more of the soft histogram more evenly distributed.)

说明：  自适应正则化方法进行图像配准的matlab代码，带有测试图像数据(Adaptive regularization method for image registration of the matlab code image data with the test)

各种功率谱估计算法!包括AR谱估计,BURG算法,YULE-WALK方程(various power spectrum estimation algorithm! Including AR spectral estimation, BURG algorithm, YULE-WALK equation)

schematic Quanta ON1

MATLAB 下的数字信号处理实现示例 理想采样信号序列 (MATLAB under the digital signal processing to achieve the ideal example of the sampling signal sequence)

一种基于小波变换的灰度数字水印嵌入算法,使用matlab实现，含有原始论文。不过不是很理想，希望大家改进(Gray-scale based on wavelet transform digital watermark embedding algorithm, using matlab implementation, containing the original papers. But not very good, hope that we improve the)

逐步判别分析的主函数 用于分类 [sel,c,c0,re,P]=StepclaassV2(data,[50 50 50],data,10) 输入变量 x为训练集.每行为一个样本，每列为一个变量. Class_x,为训练集的分类情况，一行，为各类样本数量,例如[5 6 9] Test为待分类样本. 输出变量：sel为选择的变量序号，c,c0为拟合出的判别函数.re为对Test的判别结果,P为其后验概率. author 王新 2012.4.8 例子Sample: load fisheriris x=meas Class_x=[50,50,50] Test=meas(1:5,:) Fa1=4 [sel,c,c0,re,P]=StepclaassV2(x,Class_x,Test,Fa1)( Stepwise discriminant analysis for the classification of the main function [sel, c, c0, re, P] = StepclaassV2 (data, [50 50 50], data, 10) input variables x as the training set, each conduct a sample of each as a variable. Class_x, the classification for the training set, a row, the number of samples for all types, for example, [5 6 9] Test sample to be classified. output variable: sel for the selected variables serial number, c, c0 is fitted discriminant function. re discrimination results for the Test, P its posterior probability. author Wang 2012.4.8 examples Sample: load fisheriris x = meas Class_x = [50,50,50] Test = meas (1:5, :) Fa1 = 4 [sel, c, c0, re, P] = StepclaassV2 (x, Class_x, Test, Fa1))

做的关于TTI介质的中的波德传播理论对研究在各项异性介质中的传播速度规律有很好的认识(jtduytrfkiuytiutli7tkyf)

自编维纳滤波实现运动模糊图像的恢复与matlab自带的维纳滤波函数实现复原对比(Using Wiener filter to achieve the restoration of motion-blurred images and MATLAB with Wiener filtering function restoration contrast)