Overlap-save convolution applied to wavelet analysis

The discrete wavelet transform (DWT), wavelet packet transform (WPT), and M-band wavelet techniques are often implemented as a cascade of critically sampled filter banks. Many applications apply these techniques to finite frames of samples, leading to distortion in the filtered coefficients near the...

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Veröffentlicht in:IEEE signal processing letters 2003-02, Vol.10 (2), p.47-49
Hauptverfasser: Nealand, J.H., Bradley, A.B., Lech, M.
Format: Artikel
Sprache:eng
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Zusammenfassung:The discrete wavelet transform (DWT), wavelet packet transform (WPT), and M-band wavelet techniques are often implemented as a cascade of critically sampled filter banks. Many applications apply these techniques to finite frames of samples, leading to distortion in the filtered coefficients near the frame boundaries. Overlap-save convolution (OSC) eliminates boundary distortion for a single filtering process. This article reports an application of OSC for cascaded filter banks, eliminating boundary distortion in the frame-based application of the DWT, WPT, and M-band wavelet techniques.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2002.806702