homework2

PARTICLE SWARM OPTIMIZATION

Introduction: The goal of the HumanEva dataset is to develop new techniques, technology, and algorithms for the automatic articulated pose estimation and tracking of humans. Brown University is involved in an ongoing effort to develop this dataset of synchronized video and motion capture data. The dataset is meant to aid research uating algorithms for human motion estimation. Brown University has

用MATLAB计算图像信息熵，图像为遥感融合图像tm与spot图像IHS、PCA融合(Calculation of Entropy)

matlab 图像二值化程序，可以实现自动取得阈值(image matlab)

Digital Modulation in MATLAB OOK

希尔伯特黄变换中的第一步EMD的matlab代码，希望对大家有用。(Hilbert-Huang transform in MATLAB code for the first step of EMD, hope useful to everybody)

learn it very useful

Generatind dabechies wavelet using brute force algorithm

MPC多输入输出仿真例子，是MATLAB中的，代码非常好(MPC multi input multi output simulation examples，Is MATLAB, very good code)

Source separation problems in digital signal processing are those which are used to separate useful signal a mix of signals of interest, other signals and noise. The typical example of a source separation problem is the cocktail party problem, where many number of peoples are talking simultaneously in a room and a listener is trying to follow one of the discussions. The human brain can separate the voices of different people (source separation) using neurons in the auditory region. But source separation using digital signals is difficult task with the available techniques. Several approaches have been proposed for solving this issue but most of the techniques are still in development stages. Some of the successfully tested approaches are principal components analysis (PCA) and Independent components analysis (ICA). Both the approaches work well when there are no delays or echoes present