Spectrum Estimation by Sparse Representation of Autocorrelation Function

Adel ZAHEDI; Mohammad-Hossein KAHAEI

doi:10.1587/transfun.E95.A.1185

Spectrum Estimation by Sparse Representation of Autocorrelation Function

Adel ZAHEDI, Mohammad-Hossein KAHAEI

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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.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E95-A No.7 pp.1185-1186

Publication Date: 2012/07/01

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Online ISSN: 1745-1337

DOI: 10.1587/transfun.E95.A.1185

Type of Manuscript: LETTER

Category: Digital Signal Processing

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Adel ZAHEDI, Mohammad-Hossein KAHAEI, "Spectrum Estimation by Sparse Representation of Autocorrelation Function" in IEICE TRANSACTIONS on Fundamentals, vol. E95-A, no. 7, pp. 1185-1186, July 2012, doi: 10.1587/transfun.E95.A.1185.
Abstract: 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.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/transfun.E95.A.1185/_p

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@ARTICLE{e95-a_7_1185,
author={Adel ZAHEDI, Mohammad-Hossein KAHAEI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Spectrum Estimation by Sparse Representation of Autocorrelation Function},
year={2012},
volume={E95-A},
number={7},
pages={1185-1186},
abstract={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.},
keywords={},
doi={10.1587/transfun.E95.A.1185},
ISSN={1745-1337},
month={July},}

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TY - JOUR
TI - Spectrum Estimation by Sparse Representation of Autocorrelation Function
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1185
EP - 1186
AU - Adel ZAHEDI
AU - Mohammad-Hossein KAHAEI
PY - 2012
DO - 10.1587/transfun.E95.A.1185
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E95-A
IS - 7
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - July 2012
AB - 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.
ER -