Ch10_8_15

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. )

说明：  MATLAB课程的学习课件，梳理了书中的重点难点，可供大家参考，节约时间(MATLAB course of study courseware, combing the focus of the book difficult, for reference, save time)

三维ising模型适合没有结构文件需要自己根据实际机构编写(ising model)

潮汐调和分析及分析与无潮点中国近海的无潮点(Tidal harmonic analysis and analysis of point and no tidal wave point-free offshore China)

传输参考TH-PPM调制超宽带信号功率谱密度(transmission reference TH-PPM modulated ultra-wideband signal power spectral density)

In accelerometric data, an unwanted drift is observed due to the transducer, strain accumulation, ... This leads to unrealistic values of the final displacement after an earthquake. Baseline correction is the solution to acquire reliable estimates of acceleration, velocity and displacement.

电力系统仿真软件DIGSILENT和MATLAB连接的官网上的例子。(Examples of the official website of the power system simulation software MATLAB DIGSILENT and connections.)

elm极限学习机预测风速 预测精度高能够形成完成的预测风速 (elm ELM forecast wind speed high prediction accuracy can be formed to complete the predicted wind speed)

一个自动控制专业的实用程序。以一个四阶系统为例，对任意的参数矩阵 研究其反馈镇定性，通过因式分解法，得到所有能镇定G的 一般形式的K值，用matlab进行了仿真。(Automatic control of a professional utility. A fourth-order system as an example, the parameters of any study the feedback stabilization of the matrix, and through the factorization method, by all G to calm the general forms of K values, using matlab simulation.)

This code is a demo of using Genetic Algorithms (GA) to solve a simple constrained multi-objective optimization (MOO) problem.