This repository has been lightly modernized to run on current Python environments (Python 3.11) while preserving the original algorithmic logic from 2011. Key updates include: Environment pins: ...
This repository contains four self-contained Python scripts that demonstrate the use of the Discrete Fourier Transform (DFT) for analyzing synthetic signals. Each script generates a signal in the time ...
Abstract: Fourier Transform form is essential for signal processing applications such as Biomedical Signal Processing, Speech Processing, Radar signal processing etc. The Fast Fourier Transform (FFT) ...
Modern pulsed radar systems use advanced waveform and modulation characteristics to obtain greater range resolution, enhanced clutter suppression and superior target recognition. Specifically, ...
Fourier transform is a key method for analyzing signals in both time and frequency domains. The FFT is a computational algorithm that efficiently computes the discrete Fourier transform (DFT) and its ...
When evaluating the dynamic performance of precision analog-to-digital converters (ADCs) using fast Fourier transform (FFT) analysis, coherent sampling typically is used to accurately measure the ...
The fast Fourier Transform (FFT), added to an oscilloscope or digitizer, permits measuring the frequency domain spectrum of the acquired signals. This provides a different and usually helpful ...
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