c2pendulum

Title: Noise and Vibration Analysis: Signal Analysis and Experimental Procedures Volume: Author(s): Anders Brandt Series: Periodical: Publisher: Wiley City: Year: 2011 Edition: 1 Language: English Pages: 445 ISBN: 0470746440, 9780470746448 (Noise and Vibration Analysis is a complete and practical guide that combines both signal processing and modal analysis theory with their practical application in noise and vibration analysis. It provides an invaluable, integrated guide for practicing engineers as well as a suitable introduction for students new to the topic of noise and vibration. Taking a practical learning approach, Brandt includes exercises that allow the content to be developed in an academic course framework or as supplementary material for private and further study.Addresses the theory and application of signal analysis procedures as they are applied in modern instruments and software for noise and vibration analysisFeatures numerous line diagrams and illustrationsAccompanied by a web site at www.wiley.com/go/brandt with numerous MATLAB tools and examples.Noise and Vibration Analysis provides an excellent resource for researchers and engineers automotive, aerospace, mechanical, or electronics industries who work)

一本关于Matlab仿真通信系统的书，很系统全面地讲解了各个通信系统部分，及其matlab仿真，并附有相应的Matlab练习题。(a book about simulating communication systems using matlab. Very comprehensive explanation and corresponding matlab code, and exercises.)

matlab教程ppt 绝对实用 简介明快 一看就懂(the ppt about matlab)

说明：  LSTM时间序列预测，可以用于股票预测的回归星问题(LSTM time series prediction)

比例导引法三自由度弹道源代码，用ｍａｔｌａｂ编写的(Three degrees of freedom ratio of guided ballistic method source code, written with matlab)

Jakes模型对衰弱信道进行仿真 在仿真时，先定义一个模型，再在主函数中调用这个模型，下面是主函数的程序(Jakes model debilitating channel simulation)

关于地震信号处理的径向道的应用 (Seismic signal processing on the application of radial Road)

Chapter 5. Curve Fitting Algorithm 5.1 Least Squares Line Algorithm 5.2 Least Squares Polynomial Algorithm 5.3 Non-linear Curve Fitting Algorithm 5.4 Cubic Splines Algorithm 5.5 Trigonometric Polynomials

Research in motion analysis has evolved over the years as a challenging field. Moving object detection and tracking is of major interest in applications such as traffic monitoring, military, medicine and biological sciences etc. In this a new algorithm is proposed for the detection and tracking of moving objects. The image sequence is taken from the digital camera. After preprocessing, the first two frames from the image sequence are segmented by using 8 component connectivity.

code for sattelite calculaton