1. An Observer-Based Adaptive Fourier Analysis [Tips & Tricks]
- Author
-
Gyula Simon, Gábor Péceli, and László Sujbert
- Subjects
Rational number ,Computer science ,Applied Mathematics ,Low-pass filter ,020206 networking & telecommunications ,02 engineering and technology ,Observer (special relativity) ,Transfer function ,symbols.namesake ,Sampling (signal processing) ,Fourier analysis ,Coherent sampling ,Signal Processing ,0202 electrical engineering, electronic engineering, information engineering ,symbols ,Electrical and Electronic Engineering ,Observer based ,Algorithm - Abstract
Recently, an observer-based algorithm was reviewed that is able to perform recursive sliding discrete Fourier transform (SDFT) [1]. DFT is the basic algorithm used for Fourier analysis [2], but it provides unbiased estimates only if the sampling is coherent, i.e., the ratio of the sampling frequency fs and the input signal frequency fin is a rational number. Coherent sampling of real-life periodic signals (e.g., mains voltage) can only be achieved if fin and fs are synchronized.
- Published
- 2020