bilinter

GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model (GMM) through the use of an Expectation-Maximization (EM) iterative learning algorithms. By using this model, Gaussian Mixture Regression (GMR) can then be used to retrieve partial output data by specifying the desired inputs. It then acts as a generalization process that computes conditional probability with respect to partially observed data.

图像相关算法的示例，网上转的，如果有问题请留言交流。英文说明很详细。(This function generates images with spatially correlated pixels. It regards an image as a discerete random field where each pixel is a random variable. The pixels can be correlated or completely independent,white noise field.)

用差分方程或数值微分解决简单的实际问题。 实验3 插值与数值积分 l 插值问题提法和求解思路 l Lagrange插值的原理和优缺点 l 分段线性和三次样条插值的原理和优缺点 l 用MATLAB实现分段线性和三次样条插值 l 梯形、辛普森积分公式的原理及MATLAB实现 l 数值积分公式的误差——收敛阶的概念 l 高斯积分公式 l 广义积分与多重积分 l 用插值和数值积分解决简单的实际问题。 实验4 常微分方程数值解 l 欧拉方法的原理及龙格-库塔方法的思路 l 局部截断误差和精度的概念 l 龙格-库塔方法的MATLAB实现，包括求解微分方程组和高阶微分方程 (data fitting)

forming of a signal, GLONASS system, coherent reception, graph autocorrelation, crosscorrelation function, bit-error probability[SNR]

迭代自组织数据分析， 这个有中文注释，看得明白(Iterative self organizing data analysis)

试验模态参数的频域识别方法__导纳圆法模态参数识别(Experimental modal parameters identification method in frequency domain admittance circle method __ modal parameter identification)

matlab中图形的边缘检测，然后进行角点获取(edge detect and corners acquisition)

数字图像处理冈萨雷斯matlab版，讲述了如何用matlab进行图像处理，是一本经典教程。(Gonzalez digital image processing matlab version, describes how to use matlab image processing, is a classic tutorial.)

标准粒子群算法，内含1个简单的适应度函数，可直接运行，没有错误(Standard particle swarm algorithm, containing a simple fitness function, can be directly run, no error)

4阶龙格库塔方法求解常微分方程组，并作出混沌系统的吸引子图像(4-order Runge-Kutta method for solving ordinary differential equations, and make attractor image)