2ArthurCunha-INFORMATION

Fixed-point for functions of several variables (Function fixed_point_systems(x0, N) approximates the solution of a system of nonlinear equations F(x) = (f1(x), f2(x), ..., fn(x)) = 0 rewritten in the fixed-point form x = G(x) = (g1(x), g2(x), ..., gn(x)). This is done by the user at the bottom of the file. The sub-function G(x) has to be updated accordingly with the given system. The iteration scheme x(k+1) = G(x(k)) is implemented until condition |x(k)- x(k-1)| < tol is met, starting with an initial approxiamtion vector x0. If, after N iterations, the stopping criterion is not reached, a message concerning the iterated x s is displayed. the output consists of iterates of each variables x1, x2, ..., xn in each column. )

System identification with adaptive filter using full and partial-update Transform-Domain Least-Mean-Squares

最小二乘法的matlab实现,最小二乘法用于曲线拟合，本程序可以适用于一次或者二次曲线拟合( Polynomial least squares curve fitting- First and Second order curve fitting. All the given data points must be used for fitting.)

偏微分方程的MATLAB解法 对学习matlab环境下计算偏微分方程有很好的帮助。同时，也可以用其中的PDEOOL为计算流体力学中的二维问题生成三角形网格，减少前处理工作量(Solution of Partial Differential Equations MATLAB computing environment for learning matlab partial differential equations have a good help. Also, you can use one of the PDEOOL for the two-dimensional computational fluid dynamics problems in the triangular mesh generated, reduce the workload of pre-treatment)

平凹腔激光模式计算程序，利用边界元方法计算，matlab编程！(concave cavity laser mode procedures, the use of the boundary element method, the Matlab programming!)

Image enhancement using dwt

因子分析，有实例，推荐测试，下载。科学输出处理必备！(Factor analysis, there are examples of recommended tests, download. Scientific output processing necessary!)

Mammography is one of the available techniques for the early detection of masses or abnormalities which is related to breast cancer. Breast Cancer is the uncontrolled of cells in the breast region, which may affect the other parts of the body. The most common abnormalities that might indicate breast cancer are masses and calcifications. Masses appear in a mammogram as fine, granular clusters and also masses will not have sharp boundaries, so often difficult to identify in a raw mammogram. Digital Mammography is one of the best available technologies currently being used for the early detection of breast cancer. Computer Aided Detection System has to be developed for the detection of masses and calcifications in Digital Mammogram, which acts as a secondary tool for the radiologists for diagnosing the breast cancer. In this paper, we have proposed a secondary tool for the radiologists that help them in the segmentation and feature extraction process.

在小波分析及其变换中，Hurst指数的Matlab实现(Wavelet analysis and transformation, Hurst exponent of Matlab achieve)

it is a program to identify the persons using his own iris