Seda Senay, "Adaptive Analysis of Sparse Signals," WSEAS Transactions on Signal Processing, vol. 14, pp. 125-129, 2018, DOI:
Seda Senay. Adaptive Analysis of Sparse Signals.
WSEAS Transactions on Signal Processing. 2018;14:125-129.
WSEAS Transactions on Signal Processing
Print ISSN: 1790-5052, E-ISSN: 2224-3488
Volume 14, 2018
Adaptive Analysis of Sparse Signals
Author:
Abstract: We introduce an adaptive method for analysis of sparse signals using bandpass filters obtained by modulated Slepian sequences. Similar to the recently introduced empirical wavelet transform, the proposed method decomposes a signal into different modes which corresponds to segmenting the Fourier spectrum and filtering the existing support. The simulations illustrate the correct signal decomposition for a multiband signal which has a sparse spectrum. The proposed method can be used as an alternative to empirical wavelet transform.
Keywords:
Slepian sequences, multiband signals, filter banks, orthogonal bases, empirical wavelet transform
Pages: 125-129 WSEAS Transactions on Signal Processing, ISSN / E-ISSN: 1790-5052 / 2224-3488, Volume 14, 2018, Art. #16 DOI: *As the DOI is a unique identifier, it is already available in the pdf version.
**The DOI link will be activated in the first midst of January 2026.
×
Citation Tools