matlab fftn.m 在matlab中开发的 .m源程序

基于VC++设计的一个数字信号处理平台，可以进行典型的傅里叶变换，包含未平移的傅里叶和快速傅里叶变换。可以再频域进行低通或高通滤波，分别包含：理想低通、梯形低通、巴特沃斯低通、指数低通滤波。

该程序是数值计算中拟合求值的一种基本方法，比较简单，但也非常重要-The program is a fitting numerical calculation of a basic method of evaluation, relatively simple, but it is also very important

简单二叉树的连表算法-even simple binary tree algorithm Table

本代码实现了两种变化检测方法。输入是无符号的差分图像 （例如两个视频帧或一个帧减去估计的背景），这是阈值以生产更改映射。

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求函数极小值，适用于不带约束的、函数可以为非线性的无约束规划问题的求解-Demand function is minimum applicable to non-binding, the function can be non-binding for the non-linear programming problem solving

java 写的matrix等的一些操作，含有矩阵求逆等方法，是java3d的一部分。https://java3d.dev.java.net/binary-builds.html -matrix operations such as matrix inversionmethods,It is part of java3d project. https:// java3d.dev.java.net/binary-builds.html

牛顿-拉格朗日插值法C++源代码，最新修改的通码，网友可以-Newton-Lagrange interpolation C source code, the latest revision of immigration code, net surfers can s

用仿生模式识别来训练目标，在视频序列中跟踪目标 function [sausage, num] = hypersausage_construct(P) %按照样本给定的顺序去求解超香肠神经元 [~, W] = size(P);%W是训练样例的个数 sausage = []; for i = 2:W     temp = power_two(P(:, i - 1), P(:, i));%构建第i-1个神经元  //temp是一个行向量     %temp = power_three(P(:, i - 2), P(:, i-1),P(:,i));     sausage = [sausage temp]; end sausage = [sausage P(:, end)]; num = (size(sausage, 2) - 1) / (W - 1);

资源描述本程序是基于LabView编程算法中的G语言（图形化编程）来实现e的计算。This program calculate e based on LabView.