I-Oout

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.)

The problem of detecting rectangular structures in images arises in many applications, building extraction in aerial images to particle detection in cryo-electron microscopy.

matlab中的直方图均衡，适合初学图像处理者使用，希望采纳(matlab histogram equalization, image processing suitable for beginners to use, hope to adopt)

C++大作业，编写一个account类实现基类派生类之间的各种关系。主要用于初学者对于类的理解。(C++ big job, write a class that implements account the various relationships between the base class derived class. The main class for beginners to understand.)

用VC6.0编写的对话框程序，可以读取ECG（txt格式）数据，并画图。采用差分阈值法对心电信号进行R波的检测并显示R波检测的个数，效果较好。程序中也编写了一个滤波器对心电数据进行滤波。(VC6.0 prepared by the dialog box procedure, you can read ECG (txt format) data, and drawing. Differential threshold method ECG R-wave detect and display the number of R-wave detection, the better. The program also write a filter for filtering the ECG data.)

matlab basic on fir,matlab basic on fir

说明：  求最长公共子序列，一个很好的程序。 求最长公共子序列，一个很好的程序。(Seeking the longest common subsequence, a very good program. Seeking the longest common subsequence, a very good program.)

一阶熵、二阶熵和差分熵c++程序 求熵用的 (A first order, second order entropy and entropy difference entropy ofc++ program)

vc和matlab混合编程，调用matlab强大的计算数学库(vc and mixed matlab programming, matlab call powerful computational mathematics library)

syms x g=exp(x*sin(x)) t=taylor(g,12,2) xd = 1:0.05:3 yd = subs(g,x,xd) ezplot(t, [1,3]) hold on plot(xd, yd, r-. ) title( Taylor approximation vs. actual function ) legend( Taylor , Function )(syms x g = exp (x* sin (x)) t = taylor (g, 12,2) xd = 1:0.05:3 yd = subs (g, x, xd) ezplot (t, [1 , 3]) hold on plot (xd, yd, ' r-.' ) title (' Taylor approximation vs. actual function' ) legend (' Taylor' , ' Function' ))