Multi-Sine Fitting Algorithm enhancement for sinusoidal signal characterization

Authors:
Domenico Luca Carní;Giuseppe Fedele
Affiliations:
-;-
Venue:
Computer Standards & Interfaces
Year:
2012

Citing 8
Cited 0

List of references on spectral line analysis

Signal Processing
A 2002 update of the supplementary bibliography on roots of polynomials

Journal of Computational and Applied Mathematics
An algebraic frequency estimator for a biased and noisy sinusoidal signal

Signal Processing
Fast communication: A Prony-like method for non-uniform sampling

Signal Processing
A property of the elementary symmetric functions on the frequencies of sinusoidal signals

Signal Processing
Fast algorithms for single frequency estimation

IEEE Transactions on Signal Processing
Linear prediction approach for efficient frequency estimation of multiple real sinusoids: algorithms and analyses

IEEE Transactions on Signal Processing
A generalized weighted linear predictor frequency estimation approach for a complex sinusoid

IEEE Transactions on Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

In the Multi-Sine Fitting Algorithm (MSFA) based on four parameters sine fitting a problem is the evaluation of the initial condition of the fundamental harmonic frequency, to guarantee the convergence since it is not assured for each initial condition. To overcome this problem, a method devoted to the improved evaluation of initial condition for the MSFA is presented. In particular, the method is based on the algebraic derivative approach in the frequency domain. Numerical and experimental tests confirm the potentiality of the method and the advantages in term of higher accuracy, in comparison with others methods.