Onduleur-classique

研究表明超高斯分布更加贴近语音信号的实际分布，然而语音信号很难用单一的概率密度 函数准确描述，针对这一情况，提出了一种用超高斯混合模型对语音信号幅度谱建模的新方法，并推导了 基于此模型的幅度谱最小均方误差估的估计式。仿真结果表明：与传统的短时谱估计算法相比，该算法不 仅能够进一步提高增强语音的信噪比，而且可以有效减小增强语音的失真度，提高增强语音的主观感知 质量。 (Recent research indicates that the speech spectral amplitude distributions could be fairly described with super-Gaussian probability density function. However, the complexity of speech signal determines that the distribution statistics ofspeech signal could not be well described by single simple function. Thus a super-Gaussian mixture model for speech spectral amplitude is proposed, and with this model, a minimum mean-square error (MMSE) estimator for speech signals spectral amplitude is derived. The simulation results show that this algorithm based on Gaussian and super-Gaussian speech model could achieve better noise suppression and lower speech distortion as compared with the conventional short-time spectral amplitude estimation algorithm. )

利用mfcc实现信号的识别分类，matlab仿真程序，作为分类器使用(Mfcc signal identification classification matlab simulation program)

导入统计套利品种的计算过的残差（要平稳）命名为resid文件，残差低于两个标准差买入，高于两个标准差卖出，计算买入和卖出点、次数以及收益，比较简单的一个小程序。(Calculation of statistical arbitrage varieties imported over residuals (to smooth) file named resid residuals less than two standard deviations to buy, sell higher than two standard deviations to calculate buy and sell points, the number and income , a relatively simple applet.)

双馈电机matlab中的仿真模型文献，有风力机的介绍(Modeling and Simulation of Doubly—Fed Induction Wind Power System Based on Matlab／Simulink)

二维情况下用ＦＤＴＤ方法模拟电磁波的传播情况，没加吸收边界条件，用Ｃ和MATLAB混合编程，信号源是高斯脉冲(Two-dimensional case with the FDTD simulation of electromagnetic wave propagation, no additional absorbing boundary condition, mixed with the C and MATLAB programming, the signal source is a Gaussian pulse)

DQM法求解输液管道的流致振动问题，求解临界流速。考察颤振失稳和发散失稳的失稳方式。(DQM pipeline flow infusion method induced vibration problems, solving the critical velocity. Investigated the flutter instability and divergence instability of the instability mode.)

dynamic model of synchrones machine

JADE算法，它是基于四阶累积量的特征矩阵联合近似对角化算法.关于此算法可以参见文献： J.F.Cardoso, HIgh-Order Contrasts for Independent Component Analysis, Neural Computation,1999, 11: 157–192(JADE algorithm, which is based on the fourth-order cumulant features joint matrix diagonalization algorithm can be found in the literature on this algorithm:. JFCardoso, HIgh-Order Contrasts for Independent Component Analysis, Neural Computation, 1999, 11: 157-192)

Binomial regression on Ca4227, Ca4455 and FeH

数字水印中Optimal Quincunx Filter Banks的设计源代码及说明，在matlab环境下实现(Digital Watermarking Optimal Quincunx Filter Banks behalf of the design source code and explanations of the environment under Matlab)