slidingmodecontrol

kalman filter code by Wilson Lau

说明：  这是现代信号处理领域最常用的信号分析方法！(this modern signal processing is the most commonly used method of signal analysis!)

基于传递函数模型的PID控制matlab代码(PID control based on the transfer function model matlab code)

the Simulink of f16 jet including engine model 6dof model aerodynamic model atmospheric model actuator model the Simulink of f16 jet including engine model 6dof model aerodynamic model atmospheric model actuator model

multi media card application note

说明：  采用无极卡尔曼滤波来估算电池SOC，在Simulink中搭建ukf的模型(ukf unscented Kalman filter, soc estimation, matlab/simulink)

Numerical Methods In_Finance And Economics Matlab Source Code

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. )

mittage 函数的matlab 实现 (mittage function with matlab)

说明：  斯坦福大学Grant和Boyd教授等开发的凸优化matlab最新工具箱(Windows版)(Stanford University Professor Boyd Grant and the development of new convex optimization toolbox matlab (Windows Version))