Title :
The reconstruction of discontinuous piecewise polynomial signals
Author :
MacInnes, Craig S.
Author_Institution :
Folium Algorithm Solutions Inc., Cranston, RI, USA
fDate :
7/1/2005 12:00:00 AM
Abstract :
The Gibbs phenomenon was recognized as early as 1898 by Michelson and Stratton. Gibbs oscillations occur during the reconstruction of discontinuous functions from a truncated periodic series expansion, such as a truncated Fourier series expansion or a truncated discrete Fourier transform expansion. Recent theoretical results have shown that Gibbs oscillations can be removed from the truncated Fourier series representation of a function that has discontinuities. This is accomplished by a change of basis to the set of orthogonal polynomials called the Gegenbauer polynomials. In this correspondence, a straightforward numerical procedure for the denoising of piecewise polynomial signals is developed. Examples using truncated Fourier series and discrete Fourier transform (DFT) series demonstrate the effectiveness of the numerical procedure.
Keywords :
discrete Fourier transforms; piecewise polynomial techniques; signal denoising; signal reconstruction; signal representation; discontinuous piecewise polynomial signal; orthogonal polynomial; signal denoising; signal reconstruction; truncated discrete Fourier transform expansion; truncated periodic series expansion; Accuracy; Chebyshev approximation; Discrete Fourier transforms; Fourier series; Noise reduction; Polynomials; Signal analysis; Signal processing; Signal processing algorithms; Signal reconstruction; Denoising; Fourier series; Gegenbauer polynomials; Gibbs oscillations; discrete Fourier transform; signal reconstruction;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2005.849217