ImageEnhance

说明：  1到40的无重复随机抽样的程序，其中抽取数目为参数，可调节(1 to 40 repeated random sampling procedure, which extract the number of parameters can be adjusted)

自抗扰控制器自写，调节参数可用。含TD跟踪微分器，NLSEF非线性反馈律，ESO扩张状态观测器(Self rejection controller is self written, and the adjustment parameters are available)

说明：  本书对以Matlab为基础，从数字信号处理及图像处理的原理和算法入手，着重阐述用Matlab实现数字信号处理及图像处理的重要算法。(Book, Matlab-based, from digital signal processing and image processing theory and algorithms to start, focusing on the digital signal processing using Matlab and the importance of image processing algorithms.)

说明：  模糊优选决策在炮兵活力分配的应用 (mohu youxuan )

QAM16. feed-back gardner symbol sync farrow interpolator decision feed-back phase sync gain control .simulink matlab 7.0.

电机的机械特性图，由matlab计算以及仿真得到(Mechanical characteristics of the motor map, as well as by the matlab simulation has been calculated)

This code would create the P-P reflection coefficient with incident angle in the relation of zoeppritz equation. It is very useful in seismic analysis.

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. )

《先进PID控制及其仿真》，讲述了如何在MATLAB环境下对各种PID算法的仿真，很有价值的一本书(" Advanced PID Control and Simulation" , describes how under the MATLAB environment for the simulation of various PID algorithm, the value of a book)

the PV model in MATLAB/Simulink