Analysis of DFT and FFT signal transformation with hamming window in LabVIEW

Al Fajar, M. Chw and Fatmawati, Mutia and Wulandari, Putri and Astharini, Dwi (2020) Analysis of DFT and FFT signal transformation with hamming window in LabVIEW. In: Proceeding of 2020 2nd International Conference on Broadband Communications, Wireless Sensors and Powering (BCWSP). IEEE, Yogyakarta, pp. 79-83. ISBN 978-1-7281-7450-1

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Abstract

Fourier transform is a transformation method to convert signals from time domain into frequency domain. FFT and DFT is one form of Fourier transformation. FFT is an algorithm that used to calculate, whereas DFT is a pure mathematical concept, FFT has good efficiency because in the calculation process, FFT will eliminate unnecessary processes. FFT and DFT can be given filters that can produce different impulse responses, the filtering technique is called windowing. In this paper we will create a stand-alone program and discuss the analysis of sinusoidal type signal transformation using DFT, FFT, and FFT using the Hamming window technique in LabVIEW.

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