具有FFT（快速傅立叶变换）、分形维数、熵以及数值微分和积分功能的信号分析工具_C#_Standard ML_下载.zip

# <img src="/SignalAnalysis/images/logo@24.png?raw=true" height="24" width="24"> Signal analysis Signal analysis tool: FFT (fast Fourier transform), fractal dimension, entropy, and numerical differentiation and integration in .NET 7. This software is available in the following cultures/languages: Arabic (ar) <kbd><img title="Plain Arabic" alt="Plain Arabic" src="https://cdn.staticaly.com/gh/hjnilsson/country-flags/master/svg/ae.svg" width="22"></kbd>, Bangla (bn-BD) <kbd><img title="Bangla" alt="Bangla" src="https://cdn.staticaly.com/gh/hjnilsson/country-flags/master/svg/bd.svg" width="22"></kbd>, Simplified Chinese (zh-Hans) <kbd><img title="Chinese" alt="Chinese" src="https://cdn.staticaly.com/gh/hjnilsson/country-flags/master/svg/cn.svg" width="22"></kbd>, Danish (da-DK) <kbd><img title="Danish" alt="Danish" src="https://cdn.staticaly.com/gh/hjnilsson/country-flags/master/svg/dk.svg" width="22"></kbd>, English (en) <kbd><img title="English" alt="English" src="https://cdn.staticaly.com/gh/hjnilsson/country-flags/master/svg/gb.svg" width="22"></kbd>, Belgium Dutch (nl-BE) <kbd><img title="Dutch" alt="Dutch" src="https://cdn.staticaly.com/gh/hjnilsson/country-flags/master/svg/be.svg" width="22"></kbd>, German (de-DE) <kbd><img title="German" alt="German" src="https://cdn.staticaly.com/gh/hjnilsson/country-flags/master/svg/de.svg" width="22"></kbd>, Hindi (hi-IN) <kbd><img title="Hindi" alt="Hindi" src="https://cdn.staticaly.com/gh/hjnilsson/country-flags/master/svg/in.svg" width="22"></kbd>, Italian (it-IT) <kbd><img title="Italian" alt="Italian" src="https://cdn.staticaly.com/gh/hjnilsson/country-flags/master/svg/it.svg" width="22"></kbd>, Lithuanian (lt-LT) <kbd><img title="Lithuanian" alt="Lithuanian" src="https://cdn.staticaly.com/gh/hjnilsson/country-flags/master/svg/lt.svg" width="22"></kbd>, Norwegian (Bokmål) (nb-NO) <kbd><img title="Norwegian (Bokmål)" alt="Norwegian (Bokmål)" src="https://cdn.staticaly.com/gh/hjnilsson/country-flags/master/svg/no.svg" width="22"></kbd>, Portuguese (Brazil) (pt-BR) <kbd><img title="Portuguese (Brazil)" alt="Portuguese (Brazil)" src="https://cdn.staticaly.com/gh/hjnilsson/country-flags/master/svg/br.svg" width="22"></kbd>, Russian (ru-RU) <kbd><img title="Russian" alt="Russian" src="https://cdn.staticaly.com/gh/hjnilsson/country-flags/master/svg/ru.svg" width="22"></kbd>, Spanish (es) <kbd><img title="Spanish" alt="Spanish" src="https://cdn.staticaly.com/gh/hjnilsson/country-flags/master/svg/es.svg" width="22"></kbd>, Turkish (tr-TR) <kbd><img title="Turkish" alt="Turkish" src="https://cdn.staticaly.com/gh/hjnilsson/country-flags/master/svg/tr.svg" width="22"></kbd>. Copyright © 2021-2023 by Arthurits Ltd. No commercial nor profit use allowed. This software is provided only for personal and not-for-profit use. Sponsor this project! [](https://www.paypal.com/paypalme/ArthuritsLtd) Download latest release: [](https://github.com/arthurits/SignalAnalysis/releases)  ## External dependencies The fractal dimension implementation was based on Carlos Sevcik's ["A procedure to estimate the fractal dimension of waveforms"](https://arxiv.org/abs/1003.5266). This project uses routines from the following Gits: * [FftSharp](https://github.com/swharden/FftSharp) * [ScottPlot](https://github.com/ScottPlot/ScottPlot) ## Stats