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雨流法的matlab程序 可用于疲劳计算，适用于机械和相关行业(Rainflow matlab program can be used for fatigue calculation for machinery and related industries)

混沌时间序列分析中的c-c方法，用于求相空间重构时的时间窗和延时，已修正部分错误(Chaotic time series analysis cc method for seeking and delay time window when the phase space reconstruction, part of the error has been corrected)

matlab code to generate a tri function for signal processing applications

对一随机信号进行AR模型的谐波估计,包括不同采样点数(Harmonics of a random signal AR model estimates, including different sampling points)

This library contains helper functions to read image frames into matlab from Video file using DirectShow. This library has borrowed codes from Ashwin Thangali s "DirectShow (DirectX) based AVI file reader", and it can read multiple video formats besides avi. Features: a) can read frames from rmvb, avi, etc. b) handles most codecs installed on the system d) its implementation is only based on the IMediaDet interface -- Depending on your Matlab version, the .mexw32 files may need to be renamed as .dll -- The library usage is as follows, [avi_hdl, avi_inf] = dxVideoOpen(avi_filename) pixmap = dxVideoReadMex(avi_hdl, frame_num) img = reshape(pixmap,[avi_inf.Height,avi_inf.Width,3]) dxVideoCloseMex(avi_hdl) -- recompile the library I have compiled the code with the DirectShow lib in Microsoft DirectX 9.0 SDK Update (December 2004) -- known limitation a)only works for windows :( b)may be slow for big image frames and some codecs.

说明：  平台：matlab 基于bp反馈网络的算法设计的双层感知器。 (Platform: matlab-based algorithm design of feedback network bp double-layer perceptron.)

Visual C＋＋与MATLAB的数字基带传输系统仿真的实现(Visual C++ and MATLAB simulation of digital baseband transmission system to achieve)

matlab图像处理实例详解chap11——图像特征分析(matlab image processing examples explain chap11- image feature analysis)

《通信系统仿真原理与无线应用》系统地介绍通信系统的设计、分析和仿真方法，还提供了大量极具参考价值的仿真实例。《通信系统仿真原理与无线应用》的全部仿真程序都是采用MATLAB编写的。这不仅方便读者理解仿真的实现过程，还允许读者修改或使用这些代码段来进行自己的仿真开发。章后提供了大量的参考文献和经过精心设计的各类练习题，方便教学。此为中文翻译本。(Principles of Communication Systems Simulation with Wireless Applications is a hands-on, example-rich guide to simulating wireless communications systems. The first book to present complete MATLAB simulation models for predicting the impact of design changes, it treats every aspect of simulation: sampling, signal and system representations, filters, noise, Monte Carlo simulation, postprocessing, nonlinear and time-varying systems, waveform and discrete channels, co-channel interference, and more. It includes four detailed case studies.)

new technology to classify the wave file using neural network