DocumentCode
3312343
Title
Fast classical and quantum fractional Haar wavelet transforms
Author
Labunets, Valeri ; Labunets-Rundblad, Ekaterina ; Astola, Jaakko
Author_Institution
Int. Center for Signal Process., Tampere Univ. of Technol., Finland
fYear
2001
fDate
2001
Firstpage
564
Lastpage
569
Abstract
The fractional Fourier transform (FRFT) is one-parametric generalization of the classical Fourier transform. FRFT was introduced in the 1980s and found a lot of applications in signal processing. The time and spectral domains are both the special cases of the functional Fourier domain. They correspond to the 0th and 1st fractional Fourier domains, respectively. We introduce the classical and quantum fractional Haar-wavelet transforms and develop corresponding fast algorithms
Keywords
Haar transforms; signal processing; transforms; wavelet transforms; fast classical Haar wavelet transforms; quantum fractional Haar wavelet transforms; signal processing; Digital signal processing; Discrete transforms; Fourier transforms; Image processing; Matrix decomposition; Polynomials; Signal processing; Signal processing algorithms; Symmetric matrices; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing and Analysis, 2001. ISPA 2001. Proceedings of the 2nd International Symposium on
Conference_Location
Pula
Print_ISBN
953-96769-4-0
Type
conf
DOI
10.1109/ISPA.2001.938692
Filename
938692
Link To Document