Multi-Focus-Medical-Image-Fusion-Using-DT-CWT

NNDemo2.0是对神经网络实验演示系统NNDemo1.0的进一步增强与扩充， 可以形象的演示各种网络模型的一些应用或性质，其中仿真例题是《人工 神经网络原理及仿真实例》教材中所有的例题。该系统使用极其简便，即使 你对各种网络模型不是很深刻的了解，也可以很好的使用该系统。使用时， 你可以自己修改网络的各种参数，交互性较好，而且该系统通过大量的图示 及参数设置，可以让你了解每个应用实例实现的过程及详细步骤。如果你想 学习神经网络的Matlab仿真（编程），进一步提高自己的编程能力，下面的 文件说明可以帮助你很快的找到系统的每个源文件。 (NNDemo2.0 is a neural network system NNDemo1.0 experimental demonstration of the further enhanced and expanded)

rs encoder in matlab 7,3

相关函数 两个数组相关 涉及两个正变换和一个反变换(Correlation function related to the two arrays are involved in both transformation and an anti-transformation)

Related to image processing

code of binary genetic algorithem

水声信道中的稳健均衡算法，包括算法的理论分析，仿真及实验结果(robust equalization algorithm for UWA channels, with experimental results)

几十个lingo程序，包含linggo的基本用法，用于数学建模中的统计处理问题(Dozens lingo procedures, including basic usage linggo for mathematical modeling of the statistical treatment of the problem)

用夫琅禾费衍射模型模拟液晶相控阵的远场光强分布(Fraunhofer diffraction model to simulate liquid crystal phased array far-field intensity distribution)

2维曲面拟合，gauss or gabor 函数(Functions to fit a 2D Gaussian or 2D Gabor to a surface. The routines are automatic in the sense that they do not require the specification of starting guesses for the model parameters. This is done by evaluating the quality of fit (sum of squared error) for many different choices of parameters then refining the most promising set of params through least-squares (exhaustive search followed by refinement). Least-squares is statistically equivalent to maximum likelihood estimation of the model parameters on the assumption of independent, normally distributed Gaussian noise in the observations (pixels). autoGaussianSurf(xi,yi,zi) fits a Gaussian,)

kalman filter toolbox for matlab...