digital-signal-processing

matlab based on power electronics and development hj

说明：  V/F Control of IM (Scalar control)

Displays todays date and time in Matlab

关于详细介绍瞬时频率计算相关理论的文章，文章中已附有MATLAB程序(Detailed calculation of the instantaneous frequency of articles related to theory, the article with a MATLAB program has been)

通过MATLAB程序设计实现FIR低通滤波器，附加一个交互界面选择不同的窗函数下的低通滤波。(MATLAB programs designed and implemented by FIR low-pass filter, attach an interactive interface to select a different window functions under the low-pass filter.)

Nginx Markdown module 一个nginx模块，可以将网页中的markdown语法自动转义为html,无需引入其他支持库，执行效率高。 使用--add-module编译Tengine可用dso_install动态加载。 设置实例(http块) location ~ /*.md { mdfilter on mdfilter_utf8 on } // Use Handler module location ~ /*.mkd { mdhandler mdhandler_output html }(Nginx Markdown module a nginx module can be a Web page markdown syntax is automatically escaped as html, without introducing additional support libraries, and high efficiency. Use- add-module compiled Tengine available dso_install dynamic loading. Set the instance (http block) location ~ /* md {mdfilter on mdfilter_utf8 on }.// Use Handler module location ~ /* mkd {mdhandler mdhandler_output html }.)

该文件为一个仿射非线性系统控制Matlab_simulink仿真，其中包含完全精确线性化和局部精确线性化的仿真模型，还有word实验报告，涉及非线性控制的同学可以参看一下(The file is a system control Matlab_simulink affine nonlinear simulation, which includes completely accurate linear and precise partial linearization simulation model, as well as word lab reports, involving nonlinear control students can see what)

说明：  在NASA原始数据基础上，提取容量数据(Based on the original NASA data, capacity data was extracted)

explain the coding and decoding of FEC

利用现代谱估计中的AR 模型求取仿真噪声信号和真实噪声信号的模型参数，然后利用这些参数求得信号的功率谱图，通过功率谱图定性地描述主噪声源和次噪声源。在利用信号功率谱图定性描述噪声源后，进一步地利用曲线相似度和曲线关联度定量的识别主噪声源和次噪声源(Use of modern spectral estimation of AR model to strike a realistic simulation of the noise signal and noise model parameters, and then use these parameters obtained by the signal power spectrum, power spectrum qualitatively described by the main noise source and the second noise source. In the use of qualitative description of the noise signal power spectrum of the source, the further use of the correlation curve and the curve of quantitative similarity identification of the main noise source and the second noise source)