lxp1220

该电路用来测量电感变化，在产品中经过考验，非常可靠希望帮助大家学习！(The circuit is used to measure the inductance changes, the product after the test, very reliable hope to help you learn! )

这是一个基于DTW的语音识别算法，由matlab实现，相信对大家有帮助。(This is a DTW-based speech recognition algorithm by matlab to achieve, I believe that everyone has to help.)

matlab 最优化工具箱，解决非线性多目标问题的首选(matlab optimization-toolbox)

Clear Case briefly introduction power point

数据管理、记录浏览、借还操作（借书、还书、续借、更新、删除、添加）等功能。(Data management, record visit, through further operations (borrowing, but also books, renew, update, delete, add) and other functions.)

numerical code for matlab analytical bisec differentiation F FALSEPOS fixedpoint

说明：  文件中含有大量的vc++语言和MATLAB语言的源代码，并附带有运算结果(File contains a large number of vc++ language and MATLAB language source code, together with an operation result)

利用VC和Matlab混合编程,Release文件夹下可直接运行，绘出2D和3D图形。并且可以在VC 6.0环境下调试，注意文件夹中的readme文档说明。(Using VC and Matlab to program, Release folder can be run directly, draw 2D and 3D graphics. And it can debugging in VC 6.0 environment, pay attention to the folder readme documentation.)

说明：  2014-An Analysis and Implementation of a Parallel Ball Pivoting Algorithm 图像3D算法 含源码(2014-An Analysis and Implementation of a Parallel Ball Pivoting Algorithm)

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.)