juifao_v78

一个进行C++和matlab混合编程的程序，可以实现c++调用matlab，虽是一个简单的例子但是却会让你学会VC、matlab混合编程的强大(One for C++ and matlab mixed programming procedures can be achieved c++ calling matlab, although a simple example but it makes you learn to VC, matlab powerful Hybrid Programming)

this source code use to recognize iris using ANN method

Matlab编写的SPIHT 也叫层树分集压缩算法 本算法目前适合处理8*8的矩阵 <由于时间关系 本算法还不能对大的图像进行操作 但是主要的思想算法都在 只要稍做修改即可>希望对大家会有帮助 (Matlab prepared SPIHT also called tree diversity layer compression algorithm suitable for the processing algorithm currently 8* 8 the Matrix)

席位分配 可以在准备数学建模的时候作为练习资料(mathmodeling)

神经网络修改BP辨识算法，用于辨识复杂的非线性系统，相对传统BP算法，具有计算快等优点(Modify BP neural network recognition algorithm for identification of complex nonlinear system, compared to the traditional BP algorithm has the advantages of quick calculation)

可以计算车桥耦合动力响应，得到不同轨道不平顺下的动力响应(The dynamic response of vehicle bridge coupling can be calculated, and the dynamic responses under different track irregularities are obtained)

语音信号的数字滤波——利用窗函数法实现FIR数字滤波器的设计(Speech Signal Digital Filtering- using a window function method implementation FIR digital filter design)

In this paper we discuss the problem of recovering the vertices of a planar polygon from its measured complex moments.Because the given, measured moments can be noisy, the recovered vertices are only estimates of the true ones. The literature offers many algorithms for solving such an estimation problem. We will restrict our discussion to the Total Least Squares (TLS) data fitting models HTLS and STLS and the matrix pencil method GPOF. We show the close link between the HTLS and the GPOF method. We use the HTLS method to compute starting values for the STLS method. We compare the accuracy of these three methods on simulated data. 2005 Elsevier B.V. All rights reserved.

my code for lung cancer detection

电力系统脉冲检测方法，可以使用分形几何的局部方差分维数表示，该程序可以提取其特征值，从而便于检测识别(Pulse power system detection method, you can use the fractal geometry of partial differential side dimension that the program can extract the characteristic values, which made it easy to detect and identify)