fdct3d_mpi

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.

Matlab编写的弹道分析算法-MATLAB源代码(Trajectory analysis algorithms written in Matlab-MATLAB source code)

Optimum MUD for DS-CDMA in Multi-Path Fading Channel 2 USERS( Optimum MUD for DS-CDMA in Multi-Path Fading Channel 2USERS)

提供了图像增强技术在医学方面的应用及算法，并实现了普通中值及自适应中值图像增强的不同效果，有Matlab代码(Provides image enhancement in medical applications and algorithms, and to achieve the common value and the adaptive value of different image enhancement effect has Matlab code)

语音工具箱，包括lpc， cepstrum， 等等语音处理工具，配有音频源文件，方便使用!(speech processing toolbox, contains lpc, cepstrum, and so on.)

implementing k-means and GMM algorithms for clustering data points

使用matlab编写有源滤波器，控制方法为滞环比较法(use matlab to edit active power filter，the controlling method is hysteresis comparison method)

Taking into account all the parameters mentioned, forming the appropriate programming to the controller in order to achieve the synchronization between the two systems, the appropriate amplitude and as well as the power management to the DC to control the power that is injected to the electrical grid, the results we take are in the range of high performance inverters. In this simulation scenario the power is high as the current has been increased and the THD is low

Image Super-Resolution via Sparse Representation

IEEE papers on Renewable Energy in DEC 2014