粒子群

MATLAB Finit Element methode fdtd

用响应面法计算可靠度.已知极限状态方程，变量相互独立，服从标准正态分布。(Calculation of reliability by response surface methodology. Known limit state equation, variables are independent standard normal distribution.)

MIMO雷达是最近几年兴起的一种新体制雷达，能够有效地克服目标RCS闪烁，本程序模拟仿真了MIMO雷达在高斯噪声背景中的检测性能以及恒虚警检测的性能。(MIMO radar is the rise in recent years, a new system of radar, which can effectively overcome the target RCS flashes, the process simulation of the MIMO radar detection Gaussian noise in the background performance and CFAR detection performance.)

迎风格式求解poisson方程及方程的精确解，矩形区域，狄利克雷边界情况！(Upwind scheme for solving poisson equation and exact solutions of equations, rectangular area, Dirichlet boundary conditions!)

说明：  matlab编辑的程序说明，用于实现飞行器仿真计算(matlab editing description of the procedures used to achieve aircraft simulation)

matlab实现语音信号计算其信噪比，其中包括一个原始语音文件。(matlab，calculate the SNR of a speech)

说明：  ds证据理论的事例，用于数据融合判决，附说明和参考文献(ds examples of evidence theory for data fusion decision, with notes and references)

I developed an algorithm for using local ICA in denoising multidimensional data. It uses delay embedded version of the data, clustering and ICA for the separation between data and noise. (I developed an algorithm for using local ICA in denoising multidimensional data. It uses delay embedded version of the data, clustering and ICA for the separation between data and noise.)

Newton Interpolation Method Values yi of the interpolating polynomial at the points xi. Coordinates of the points of interpolation are stored in vectors x and y. Horner s method is used to evaluate a polynomial. Second output parameter a holds coeeficients of the interpolating polynomial in Newton s form.

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.