ComplexExponentialMethod

matlab学习资料，对于初学者来说是一本不错的入门教程(matlab learning materials, for beginners is a good introductory tutorial)

alpha稳定分布概率密度函数产生，应用于水声环境中混响噪声信号概率密度的建模，以便于研究水下信号传输(alpha stable distribution probability density function generator, used in underwater acoustic environment reverberation noise signal probability density modeling, in order to study the underwater signal transmission)

CC1110 and CC2510 Mini DK Software Example - Copy

对三路信号进行分离，基于峭度和基于负熵的独立分量分析（ICA）(The three way signal separation, based on the kurtosis and independent component analysis (ICA) based on negative entropy )

说明：  本文件可以用来精确计算M-K趋势值，以及倾斜度。 matlab的m文件 直接点击F5运行(This file can be used to accurately calculate the the MK trend values, as well as the inclination. matlab m file directly Click F5 to run)

PSO-LSSVM算法的matlab实现，利用PSO算法对LSSVM模型的初始参数求解，以期望得到最好的模型。(PSO-LSSVM algorithm is implemented in matlab, and PSO algorithm is used to solve the initial parameters of LSSVM model in order to get the best model.)

Computational Matrix Algebra with Matlab

to subtract background

A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.(A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.)

針對單一人臉做出五官的檢測定位,並在人臉上畫出五官的方框作為表示.(For a single human face detection features make positioning, and his face painted in the box as an express facial features.)