TI-Product-Life-Research-Paper.pdf

特别牛的SIFT实现，VLFeat 0.9.13，代码特别清晰。C语言编写，有matlab接口。还包括了SIFT, MSER, k-means, hierarchical k-means等相关算法。(A library implements popular computer vision algorithms including SIFT, MSER, k-means, hierarchical k-means. )

Visual C++_MATLAB图像处理与识别实用案例精选+源代码(Visual C++ _MATLAB image processing and recognition of practical case selection+ Source Code)

用虚拟机COM方式很慢.试试用这个吧,这个据说能提高十几倍哟.里面的read.txt文件我在VMWare中安装做了一下简要的中文说明. irpfind produces ~450KB/s traffic on VirtualBox and ~150KB/s on VMWare, significantly outperforming standard ~10KB/s COM Port(COM way using virtual machine is slow. Try it with this, this is said to increase more than tenfold yo. Read.txt document inside VMWare installed, I have done a brief description of the Chinese. Irpfind produces ~ 450KB/s traffic on VirtualBox and ~ 150KB/s on VMWare, significantly outperforming standard ~ 10KB/s COM Port)

LTE的扰码产生序列，这个是matlab代码，十分详细。(LTE scrambling the sequence, this is the matlab code, very detailed.)

说明：  对于一个散射面进行重构,并计算出了散射场的值(reconstucting a scattering surface and calculate the value of the scattering)

说明：  SAR仿真程序，正侧视，条带式合成孔径雷达(SAR simulation program, are side, striped synthetic aperture radar)

编程中出现的小程序，四字节char型数组转浮点数(four byte char to float)

用镜像矩阵求出矩阵的QR分解（正交三角分解），并求解线性方程组，该方法不必选主元，但其计算过程非常稳定。也可用于求矩阵的广义逆和求解线性最小二乘问题。子过程QRDCMP用镜像矩阵求m*n矩阵A的QR分解，A=Q^TR,其中Q是m*m正交矩阵，R为m*n上三角矩阵；子过程QRBKSB用矩阵的QR分解求解线性方程组Ax=b，其中A为n阶非奇异方阵。(Matrix obtained with the mirror matrix QR decomposition (orthogonal triangular decomposition), and solving linear equations, the method does not have to choose the main element, but its calculation process is very stable. Can also be used to find the generalized inverse matrix and solving linear least squares problems. Sub-process of the mirror matrix QRDCMP m* n matrix A QR decomposition, A = Q ^ TR, wherein Q is a m* m orthogonal matrix, R is m* n upper triangular matrix subprocess QRBKSB a QR decomposition to solve the matrix linear equations Ax = b, where A is non-singular square matrix of order n.)

lapack的c++版本之一.lapack是imsl,mkl,matlab等大部分数值计算的使用者.最早是for77的,后来出现c++,java等的.(lapack one of the c version. Lapack is imsl, mkl. Matlab, and most numerical calculation users. The first was for77, subsequently c, java and so on.)

说明：  harris 角点检测 MATLAB 代码(Harris corner detection MATLAB code)