MATLAB-distance-protection

UWB中可抑制窄带干扰的一种方法，pswf为一种改进的脉冲波形(UWB in a way to suppress narrowband interference)

FFT的说明和一些matlab 例程，希望能有所帮助(Fast Fourier Transformation under the environment of MATLAB)

回归分析工具，包含CCA,kernel CCA，LS-CCA及它们的变形，希望对同学们有用。(Regression analysis tools, including CCA, kernel CCA, LS-CCA and their variants , I hope useful to the students.)

说明：  灰色系统理论提出了对各子系统进行灰色关联度分析的概念，意图透过一定的方法，去寻求系统中各子系统（或因素）之间的数值关系。因此，灰色关联度分析对于一个系统发展变化态势提供了量化的度量，非常适合动态历程分析。 计算步骤 ? 确实参考数列与比较数列 ? 对参考数列与比较数列进行无量纲化处理 ? 计算关联度(The grey system theory puts forward the concept of grey relational degree analysis for each subsystem. The purpose is to find the numerical relationship among subsystems (or factors) in the system through certain methods. Therefore, the grey relational degree analysis provides a quantitative measure for the development and change of a system, which is very suitable for dynamic process analysis. Computing steps_Independent reference sequence and comparison sequence_Dimensionless processing of reference sequence and comparison sequence_Computing correlation degree)

可以用于模拟lbm方法的matlab相关程序(Lbm method can be used to simulate the procedures matlab)

曹梦龙 仿真大实验 有simulink图 有图形(Caomeng Long simulink simulation experiment in a graphical map with)

MATLAB编程+GUIDE人机界面；三绕组变压器参数计算(Three-winding transformer parameter calculation MATLAB programming+GUIDE HMI)

该文档详细介绍了4G LTE下的MIMO OFDM的工作原理(very good document for get knowledge of 4G MIMO OFDM)

传统的短时谱估计语音增强算法通常假设语音谱分量相互独立，没有考虑语音谱分量间的相关性。针对这 一问题，该文提出一种新的基于多元Laplace分布模型的短时谱估计算法。首先，假设语音的离散余弦变换(DCT) 系数服从多元Laplace分布，以此利用谱分量间的相关性；在此基础上，利用多元随机矢量的高斯尺度混合模型表 示，推导得到语音DCT系数矢量的最小均方误差(MMSE)估计的解析表达式；并进一步推导了基于该分布模型的 语音存在概率，对最小均方误差估计子进行修正。实验结果表明，该算法在抑制背景噪声和减少语音失真等方面优 于传统的语音增强方法。(The spectral components of speech are usually assumed to be independent in traditional short-time spectrum estimation, which is not the case in practice. Tosolve this problem, a new speech enhancement algorithm with multivariate Laplace speech model is proposed in this paper. Firstly, the speech Discrete Cosine Transform (DCT) coefficients are modeled by a multivariate Laplace distribution, so the correlations between speech spectral components can be exploited. And then a Minimum-Mean-Square-Error (MMSE) estimator based on the proposed model is derived using a Gaussian scale mixture representation of random vectors. Furthermore, the speech presence uncertainty with the new model is derived to modify the MMSE estimator. Experimental results show that the developed method has better noise suppression performance and lower speech distortion compared to the traditional speech enhancement method. )

声学回声消除步长控制算法matlab仿真(matlab acoutic echo cancellation)