CFD2_lc

基于adaboost的人脸检测算法的matlab实现过程，希望对需要的朋友有帮助(Face detection based on adaboost algorithm matlab process, hope to help to friends)

matlab 双音多频发射与接收实验 代码(matlab TDMF send and recevied code)

用Hausdorff距离对两角点集进行配准，得到点集间的仿射变换，从而实现图像的自动配准。此算法以角点作为Hausdorff距离的配准特征，与直接选用边缘来配准的方法相比较，大大减小计算量。(Hausdorff distance on the corners with a point set registration, be affine transformation between sets in order to achieve automatic image registration. This algorithm is based corner as the Hausdorff distance matching characteristics, and use Edge to direct registration method of comparison, greatly reduced computation.)

说明：  通信原理方面的一些基础matlab程序,包含数字基带传输系统中升余弦滚降系统,最佳基带系统,基带信号眼图,OOK,2PSK,2FS,MPSk,DSB,SSB,VSB(Some basic matlab programs of communication principle, including up-cosine roll-down system in digital baseband transmission system, optimal baseband system, baseband signal eye diagram, OOK, 2PSK, 2FS, MPSk, DSB, SSB, VSB)

多种波束形成源代码，有很好的可扩展性 包括：直接相移波束形成，MVDR波束形成，music波束形成的源程序(A variety of beamforming source code, has very good scalability, including: direct phase-shift beamforming, MVDR beamforming, music source beamforming)

该程序是实现一个心电信号监测的模拟波形设计，能使显示不同的界面。(The program is to achieve a simulated ECG waveform monitoring design, can display a different interface. )

利用matlab自带的fisheriris数据集（为了可视化将其看成两类）（setosa类和非setosa类）测试svm(test the svmtrain and svmslassify functions by the fisheriris by the matlab software)

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)

LCMV优化设计阵列处理信号，本科毕设要求参见标准测试模型，在matlab R2009b调试通过，包含特征值与特征向量的提取、训练样本以及最后的识别，BP神经网络用于函数拟合与模式识别。( LCMV optimization design array signal processing, Undergraduate complete set requirements refer to the standard test models, In matlab R2009b debugging through, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, BP neural network function fitting and pattern recognition.)

本文运用贪婪算法求解背包问题，语言为C，很不错的(In this paper, the greedy algorithm knapsack problem, language as C, very good)