duibiz

海伦方程下的ＭＡＴＬＡＢ仿真细直导线的基本参数数据图(Helen equation under the thin straight wire MATLAB simulation of the basic parameters of the data graph)

apso针对配电网重构，matlab程序(apso for Distribution Network Reconfiguration, matlab program)

kalman 滤波器，初学者的参考,最好先学习一下其推到过程(kalman filter, the reference for beginners, it is best to first learn about the process of pushing)

均匀白噪声、高斯白噪声信号波形，及其自相关函数和频谱密度函数图形(The wave of Even White noise and Gaussian noise,and their Autocorrelation Function and Spectrum Density. )

matlab编写的轨迹发生器用于制造原始数据(matlab write the trajectory generator used in the manufacture of the raw data)

图像重影退化的逆滤波恢复，自编程序实现。可执行(The inverse image ghosting filter restore, by ourselves to achieve)

DC DC convereter control

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. )

EHA 的模型。电液静液压作动器 EHA 的模型。电液静液压作动器(electro hydraulic actuator)

半监督LDS算法,是由Olivier Chapelle提出来的，他将半监督的流行假设和聚类假设结合起来。 (LDS for Semi-supervised learning，which is proposed by Olivier Chapelle,it combinations the monifold assumption and cluster assumption.)