TWO-STAGE-DEA

this document is about counting paths with matlab

there is a code for tsai wu failure teory.

本书以仿真应用为中心，系统、详细地讲述了过程控制系统的仿真，并结合MATLAB/Simulink仿真工具的应用，通过大量经典的仿真实例，全面讲述过程控制系统的结构、原理、设计和参数整定等知识。包括过程控制及仿真概述、Simulink仿真基础、Simulink高级仿真技术，以及过程控制系统建模；实战篇包括PID控制、串级控制、比值控制、前馈控制、纯滞后和解耦控制系统；综合篇包括典型过程控制系统及仿真。(Book on the simulation application, system, tells the story of process simulation of the control system in detail, and combined with the application of MATLAB/Simulink simulation tool, through a large number of classic simulation examples, comprehensively describes the structure, principle, process control systems design and parameter setting of knowledge.Including overview and Simulink simulation of process control and, senior Simulink simulation technology, and process control system modeling Practical article including PID control, cascade control, ratio control, feedforward control, pure lag and decoupling control system Mix and match including typical process control system and simulation.)

说明：  Hu矩特征提取，可以用于图像特征提取，可运行(Hu)

Matlab好课程,内容比较详细，容易懂，适合查询用(Matlab a good course, more detailed content, easy to understand, for queries with)

一个基于matlab的MPPT控制模型，希望能给大家带来一点收获(maximum power point tracker)

支持向量机在matlab中的安装工具箱 lssvm(matlab application support vector machine toolbox)

几个关于阵列天线的仿真程序，运行环境为matlab,需要用到阵列信号处理工具箱，运行极了一看见结果。(Several on the antenna array simulation program, operating environment for matlab, need to resort to array signal processing toolbox, running great to see the results of one.)

solves air combustion of methane in matlab

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. )