tezhengzhifenjie-

code C++ for convulotion coding

二分类逻辑回归matlab代码,运行有效，包含图形说明。(Binary logistic regression matlab code to run efficiently, including graphical instructions.)

对于初学者用matlab画图很有帮助，能迅速熟练掌握matlab作图方法(it is bery helpful for beginners to learn Matlab drawing ,with it you can quickly master the mapping method of matlab)

Matlab Codes for Series Resenance

kalman filter for tracking

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. )

蒙特卡洛算法也常用于机器学习，特别是强化学习的算法中。一般情况下，针对得到的样本数据集建立相对模糊的模型，通过蒙特卡洛方法对于模型中的参数进行选取，使之于原始数据的残差尽可能的小。从而达到建立模型拟合样本的目的。(Monte Carlo algorithm is also commonly used in machine learning, especially in reinforcement learning algorithm. In general, a relatively fuzzy model is established for the obtained sample data set, and the parameters in the model are selected by Monte Carlo method so that the residual error of the original data is as small as possible. Thus, the purpose of establishing the model fitting sample is achieved.)

说明：  noma simulation programme in matlab

DACE- A MATLAB Kriging Toolbox Version 2.0, August 1, 2002. (Sø ren N. Lophaven, Hans Bruun Nielsen, Jacob Sø ndergaard) - The software package DACE (Design and Analysis of Computer Experiments), which is a Matlab toolbox for working with kriging approximations to computer models. The typical use of this software is to construct a kriging approximation model based on data from a computer experiment, and to use this approximation model as a surrogate for the computer model.-DACE- A MATLAB Kriging Toolbox Version 2.0, August 1, 2002. (Sø ren N. Lophaven, Hans Bruun Nielsen, Jacob Sø ndergaard) - The software package DACE (Design and Analysis of Computer Experiments), which (DACE- A MATLAB Kriging Toolbox Version 2.0, August 1, 2002. (Sø ren N. Lophaven, Hans Bruun Nielsen, Jacob Sø ndergaard)- The software package DACE (Design and Analysis of Computer Experiments), which is a Matlab toolbox for working with kriging approximations to computer models. The typical use of this software is to construct a kriging approximation model based on data from a computer experiment, and to use this approximation model as a surrogate for the computer model.-DACE- A MATLAB Kriging Toolbox Version 2.0, August 1, 2002. (Sø ren N. Lophaven, Hans Bruun Nielsen, Jacob Sø ndergaard)- The software package DACE (Design and Analysis of Computer Experiments), which )

格兰杰因果检验：检测两个样本之间的因果关系，常用到预测中(Granger causality test: detecting causal relationship between the two samples, used to forecast)