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 |
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| container_title | IEEE signal processing letters |
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| creator | Nealand, J.H. Bradley, A.B. Lech, M. |
| description | 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. |
| doi_str_mv | 10.1109/LSP.2002.806702 |
| format | Article |
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| ispartof | IEEE signal processing letters, 2003-02, Vol.10 (2), p.47-49 |
| issn | 1070-9908 1558-2361 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Boundaries Channel bank filters Convolution Discrete wavelet transforms Distortion Filter bank Filter banks Filtering Frames Mathematical analysis Signal processing Wavelet Wavelet analysis Wavelet coefficients Wavelet packets Wavelet transforms |
| title | Overlap-save convolution applied to wavelet analysis |
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