IEEE14chaoliujisuan

说明：  几个改进EMD算法的matlab代码，包括旋转EMD，间歇EMD。(Several improvements in the EMD algorithm matlab code, including rotating EMD, Intermittent EMD.)

COMPARISON OF DIFFERENT MODULATION SCHEMES

说明：  振动的模拟的matlab源程序，来源于网络, 谢谢大家！(vibration source Matlab simulation, and from the network, thank you all!)

在单频激光干涉仪的非线性误差中，运用细分计数方法对其进行修正，在存在高斯白噪声的情况下，采用传统的正切细分法和可修正误差的细分法来仿真比较。(In the nonlinear error of single frequency laser interferometer, the use of segmentation counting method, amending them, in the presence of Gaussian white noise, using the traditional method and the tangent subdivision subdivision errors can be corrected to simulate compare.)

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. )

将ELCentro波的加速度时程转换成速度、位移时程(Converting the acceleration time history of ELCentro wave into velocity and displacement time history)

蚁群算法用于解决TSP问题,用matlab实现的算法，调试通过(ant colony optimization alorithm TSP problem )

一种卡尔曼滤波器设计，针对稳态卡尔曼滤波，卡尔曼滤波，稳态(Kalman filter is designed for steady-state Kalman filter, Kalman filtering, steady)

轴承故障诊断，经验模态分解，采用切片双谱(Bearing fault diagnosis, empirical mode decomposition, using slices bispectral)

This code is hopfield neural network. However, not my work