2030227030038[1]

this is the implementation of introduced algorithm(feature selection algorithm for mixed data with both nominal and continuous features,Wenyin Tang & K.Z. Mao)

EMD分解的matlab代码，克服了传统筛选停止准则中的分母为零的问题(Empirical Mode Decomposition based on matlab)

论文分析了合成孔径雷达图像迭代滤波处理的效果及其问题，结合统计滤波方法和小波分析方法，提出了一种基于细节补偿的MAP迭代滤波算法。实验结果表明，新的迭代滤波算法较好地解决了去噪和细节保留之间的矛盾，而且算法稳定，收敛很快。(This paper analyzes the iterative synthetic aperture radar image filtering effect and its problems, combined with statistical filtering methods and wavelet analysis method, details of compensation, a MAP based iterative filtering algorithm. Experimental results show that the new iterative filtering algorithm can solve the denoising and detail preservation conflicts between, and the algorithm is stable and fast convergence.)

蚁群算法的MATLAB实现,有详细的注释（ACO_VRP.m）(ACO_VRP)

Linear Matrix Inequalities in System and Control Theory

研究表明超高斯分布更加贴近语音信号的实际分布，然而语音信号很难用单一的概率密度 函数准确描述，针对这一情况，提出了一种用超高斯混合模型对语音信号幅度谱建模的新方法，并推导了 基于此模型的幅度谱最小均方误差估的估计式。仿真结果表明：与传统的短时谱估计算法相比，该算法不 仅能够进一步提高增强语音的信噪比，而且可以有效减小增强语音的失真度，提高增强语音的主观感知 质量。 (Recent research indicates that the speech spectral amplitude distributions could be fairly described with super-Gaussian probability density function. However, the complexity of speech signal determines that the distribution statistics ofspeech signal could not be well described by single simple function. Thus a super-Gaussian mixture model for speech spectral amplitude is proposed, and with this model, a minimum mean-square error (MMSE) estimator for speech signals spectral amplitude is derived. The simulation results show that this algorithm based on Gaussian and super-Gaussian speech model could achieve better noise suppression and lower speech distortion as compared with the conventional short-time spectral amplitude estimation algorithm. )

基于Matlab的常用数值计算源码，包括矩阵计算，绘图(Matlab-based numerical calculation of the commonly used source, including the matrix calculation, mapping)

Companion code for Fitting Survival Probability Models article

本人的仿真作业，主要是使用lms算法来观察均方误差和迭代步长等的关系。(My simulation work, mainly the use of lms algorithm is used to observe the mean-square error and the iterative steps long relationship.)

Distribution System Reconfiguration