Spectrum Estimation by Sparse Representation of Autocorrelation Function

Adel ZAHEDI  Mohammad-Hossein KAHAEI  

IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E95-A   No.7   pp.1185-1186
Publication Date: 2012/07/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.E95.A.1185
Print ISSN: 0916-8508
Type of Manuscript: LETTER
Category: Digital Signal Processing
sparse representation,  redundant dictionaries,  irregular sampling,  spectrum estimation,  

Full Text: PDF(289.1KB)>>
Buy this Article

A flexible and computationally efficient method for spectral analysis of sinusoidal signals using the Basis Pursuit De-Noising (BPDN) is proposed. This method estimates a slotted Auto-Correlation Function (ACF) and computes the spectrum as the sparse representation of the ACF in a dictionary of cosine functions. Simulation results illustrate flexibility and effectiveness of the proposed method.