Multi-target

In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.

Design and analyze the layer of wimax communication systems tools

MMSE estimation channel caculator

kalman filter matlab tool

根据静态苹果图像RGB三值检测苹果表面是否有缺陷，比较准确(Apple RGB image from the static three-valued test whether apple surface defects, more accurate)

Three phase high frequency isolated DC-DC converter (published in ELSEVIER)is simulated under symmetrical open loop control. It provides Low voltage conversion ratio, isolation, good regulation with fast dynamic response.

matlab信号仿真，包括基本信号的产生，时域抽样和频域抽样等仿真说明(MATLAB signal simulation, including the basic signal generation, the time domain sampling and frequency domain sampling simulation)

varios demos para sistema de optimización de antenas

基于模型的压缩感知工具箱，MATLAB代码，内有相关文章(This package contains Matlab implementations of various CS recovery algorithms that have been developed using the framework described in the above paper。Each folder in the package essentially consists of a CS recovery algorithm based on a particular signal model, and a script that tests that recovery algorithm.)

说明：  容积卡尔曼滤波算法，常被用于目标状态跟踪，或者下一时刻的状态预测值(CKF status tracking)