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名义应力发估算疲劳循环次数，希望对你有所帮助，共同学习探讨(Nominal stress to estimates fatigue life cycles)

《MATLAB语言与自动控制系统设计》pdf，很好的资料。(MATLAB language and the automatic control system design with the book resources, good information. )

ASCII matlab code for stract

清华大学张旭东老师《现代信号处理》课第二次大作业代码。高效正确地实现LMS算法。(This is an efficient and correct implementation of the LMS algorithm .This code is especially for the project of modern signal processing ,which is tought by Zhang Xudong in Tsinghua University.)

对于混沌系统进行李雅普诺夫指数计算以及其指数谱仿真(chaos system lyapunov)

说明：  Gaussian Processes Regression(GPR) 高斯过程回归 Matlab 实现(Gaussian processes regression (GPR) matlab implementation)

EMD的Toolbox及使用方法 经验模态分解（Empirical Mode Decomposition, 简称EMD）是由美国NASA的黄锷博士提出的一种信号分析方法.它依据数据自身的时间尺度特征来进行信号分解, 无须预先设定任何基函数。这一点与建立在先验性的谐波基函数和小波基函数上的傅里叶分解与小波分解方法具有本质性的差别。正是由于这样的特点, EMD 方法在理论上可以应用于任何类型的信号的分解, 因而在处理非平稳及非线性数据上, 具有非常明显的优势。所以, EMD方法一经提出就在不同的工程领域得到了迅速有效的应用, 例如用在海洋、大气、天体观测资料与地震记录分析、机械故障诊断、密频动力系统的阻尼识别以及大型土木工程结构的模态参数识别方面。本工具书主要分以下几个部分：导论、非稳态信号介绍、一维时频信号分解、二维时频信号分解、时频影像信息提取等。 (Time frequency toolbox for use with MATLAB The Time-Frequency Toolbox has been mainly developed under the auspices of the French CNRS (Centre National de la Recherche Scientifique). It results from a research effort conducted within its Groupements de Recherche ”Traitement du Signal et Images” (O. Macchi) and ”Information, Signal et Images” (J.-M. Chassery). Parts of the Toolbox have also been developed at Rice University, when one of the authors (PG) was visiting the Department of Electrical and Computer Engineering, supported by NSF. Supporting institutions are gratefully acknowledged, as well as M. Guglielmi, M. Najim, R. Settineri, R.G. Baraniuk, M. Chausse, D. Roche, E. Chassande-Mottin, O. Michel and P. Abry for their help at different phases of the development.)

学习MATLAB发的好教材，本电子文档主要讲解了MATLAB的主要算法设计，里面有详细的说明(Learning the MATLAB hair is good material , the electronic document explains the MATLAB algorithm design , which are described in detail )

MATLAB实现图形图像的处理，对图像的中值滤波。(MATLAB image processing of graphics, the image median filtering.)

Singularity detection for 1-D signal using wavelet maxima.