Abstract
This letter introduces an analytic wavelet transform based on linear phase quadrature mirror filters (QMFs).
The computation of the analytic signal and the reconstruction of the signal is carried by the fast Fourier transform (FFT)-based algorithm. The transform yields energy preserving and shift invariant decimated analytic wavelet coefficients, which are free of aliasing effects.
The present method can be implemented in the microprocessor and VLSI environment using a commercial FFT chip
The computation of the analytic signal and the reconstruction of the signal is carried by the fast Fourier transform (FFT)-based algorithm. The transform yields energy preserving and shift invariant decimated analytic wavelet coefficients, which are free of aliasing effects.
The present method can be implemented in the microprocessor and VLSI environment using a commercial FFT chip
Original language | English |
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Pages (from-to) | 177-180 |
Journal | IEEE Signal Processing Letters |
Volume | 14 |
Issue number | 3 |
DOIs | |
Publication status | Published - 2007 |
MoE publication type | A1 Journal article-refereed |
Keywords
- fast Fourier transform
- linear phase filters
- quadrature mirror filters
- signal reconstruction
- wavelet transforms
- FFT-based computation
- QMF
- VLSI
- decimated analytic wavelet
- linear phase quadrature mirror filter
- microprocessor
- shift invariant
- wavelet transform