Title :
Sparse Representation with Harmonic Wavelets
Author_Institution :
DiFarma, Univ. of Salerno, Fisciano, Italy
Abstract :
A simple method, based on harmonic wavelets, is proposed for the decomposition of a suitable signal into a periodic function and a pulse. It will be shown that, under some general conditions, by a simple projection into two disjoint orthogonal space of functions the periodic component of the signal can be separated from the localized part. The proposed algorithm, gives an approximate (scale depending) decomposition and can be used also for an efficient denoising (as shown in the final examples).
Keywords :
decomposition; signal denoising; signal representation; wavelet transforms; harmonic wavelets; orthogonal space; periodic component; periodic function; signal denoising; sparse representation; suitable signal decomposition; Discrete wavelet transforms; Fractals; Frequency shift keying; Fuzzy systems; Harmonic analysis; Noise reduction; Signal analysis; Signal processing; Source separation; Wavelet analysis; Harmonic Wavelets; denoising; fractals;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
DOI :
10.1109/FSKD.2009.648