Assessment of Sparse Fourier Transform for Spectral Measurements
- Resource Type
- Conference
- Authors
- Daponte, Pasquale; De Vito, Luca; Picariello, Francesco; Rapuano, Sergio; Tudosa, Ioan
- Source
- 2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Instrumentation and Measurement Technology Conference (I2MTC), 2023 IEEE International. :1-6 May, 2023
- Subject
- Bioengineering
Engineering Profession
General Topics for Engineers
Signal Processing and Analysis
Fast Fourier transforms
Instrumentation and measurement
Signal resolution
Signal to noise ratio
Fourier transform
Spectral measurements
Sparsity
- Language
- ISSN
- 2642-2077
This paper aims to evaluate the metrological performance of newly proposed Sparse Fourier Transform for a possible use for spectral measurements. An algorithm implementing the Sparse Fourier has been selected and several simulations and some experimental tests have been carried out, with the aim of determining the frequency resolution, the detectability and the accuracy provided by this transform, with different values of the Signal-to-Noise Ratio and of the signal sparsity provided to the algorithm. The results have been compared with those obtained by the Fast Fourier Transform.