Abstract:
This paper aims to evaluate the metrological performance of newly proposed Sparse Fourier Transform for a possible use for spectral measurements. An algorithm implementin...Show MoreMetadata
Abstract:
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.
Date of Conference: 22-25 May 2023
Date Added to IEEE Xplore: 13 July 2023
ISBN Information:
ISSN Information:
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Fourier Transform ,
- Spectral Measurements ,
- Sparse Transformation ,
- Sparse Fourier Transform ,
- Experimental Tests ,
- Fast Fourier Transform ,
- Frequency Resolution ,
- Sparse Signal ,
- Sampling Frequency ,
- Fundamental Frequency ,
- Sine Wave ,
- Discrete Fourier Transform ,
- Largest Component ,
- Frequency Index ,
- Fourier Coefficients ,
- Binary Search ,
- Sparsity Parameter
- Author Keywords
Contents Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Fourier Transform ,
- Spectral Measurements ,
- Sparse Transformation ,
- Sparse Fourier Transform ,
- Experimental Tests ,
- Fast Fourier Transform ,
- Frequency Resolution ,
- Sparse Signal ,
- Sampling Frequency ,
- Fundamental Frequency ,
- Sine Wave ,
- Discrete Fourier Transform ,
- Largest Component ,
- Frequency Index ,
- Fourier Coefficients ,
- Binary Search ,
- Sparsity Parameter
- Author Keywords
