kmeans

独立分量分析工具包，包括十余种主流ICA分析工具，上手可用。(Independent component analysis toolkit, including more than 10 kinds of mainstream ICA analysis tool, to get started is available.)

递归最小均方误差中，权矢量随迭代次数收敛曲线(recursive least squares )

parzen窗对概率密度函数的估计matlab程序(parzen window )

EM310ZILIAO,em310的资料，EM310ZILIAO,EM310ZILIAO,EM310ZILIAO,(GPRS INFOR)

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. )

基于增广矩阵束的L型阵列的二维DOA估计MATLAB程序,(MATLAB program based on the augmented matrix pencil L-shaped array of two-dimensional DOA estimation,)

这个包包含6个代价敏感神经网络训练算法。(This package contains 6 algorithms for training cost-sensitive neural networks. They are over-sampling, under-sampling, threshold-moving, SMOTE and two ensemble methods, i.e. hard-ensemble and soft-ensemble. )

modulation channel capacity

说明：  MLS论文 关于MLs的论文 有推导过程 可以参考(MLS thesis paper on the MLs can refer to a derivation)

DMC仿真程序,用MATLAB写的，m文件，直接运行就行。(Dynamic Matrix Control)