Algorithm 735: Wavelet transform algorithms for finite-duration discrete-time signals

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Algorithm 735: Wavelet transform algorithms for finite-duration discrete-time signals

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ACM Transactions on Mathematical Software (TOMS) archive
Volume 20 , Issue 3 (September 1994) table of contents

Pages: 398 - 412

Year of Publication: 1994

ISSN:0098-3500

Authors

Carl Taswell	Stanford Univ., Stanford, CA
Kevin C. McGill	Veterans Affairs Medical Center, Palo Alto, CA

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 6, Downloads (12 Months): 46, Citation Count: 2

Additional Information:

appendices and supplements references cited by index terms collaborative colleagues peer to peer

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APPENDICES and SUPPLEMENTS

735.gz (8 KB)

pyramid: wavelet transform and inverse
Gams: pyramid

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	BURT, P. J., AND ADELSON, E. H. 1983. The Laplaclan pyramid as a compact image code. IEEE Trans. Comput. 31, 4 (Apr.), 532-540.
	2	COHEN, A, DAUBECHIES, I., AND VIAL, P. 1993. Wavelets on the interval and fast wavelet transforms. Appl. Comput. Harraonzc Anal. 1, 1 (Dec), 54-81.
	3	DAUBECHIES, I. 1988. Orthonormal bases of compactly supported wavelets. Commun. Pure Appl. Math. 41, 909-996.
	4	Ingrid Daubechies, Orthonormal bases of compactly supported wavelets II: variations on a theme, SIAM Journal on Mathematical Analysis, v.24 n.2, p.499-519, March 1993 [doi>10.1137/0524031]
	5	C. Heil , D. F. Walnut, Continuous and discrete wavelet transforms, SIAM Review, v.31 n.4, p.628-666, Dec. 1989 [doi>10.1137/1031129]
	6	S. G. Mallat, A Theory for Multiresolution Signal Decomposition: The Wavelet Representation, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.11 n.7, p.674-693, July 1989 [doi>10.1109/34.192463]
	7	MCGmL, K., AND TASWELL, C. 1991. Wavelet transform algorithms for finite~duration discretetime signals: Elimination of signal-end effects. Unpublished technical report.
	8	McGILL, K., AND TASWELL, C. 1993. Wavelet transform algorithms for finite-duration discretetime signals. In Proceedings of the Internattonal Conference on Wavelets and Apphcatzons (Toulouse, France, June 1992), Y. Meyer and S. Roques, Eds. Editions Frontieres, pp. 221-224.
	9	RIOUL, O., AND VETTERLI, M. 1991. Wavelets and signal processing IEEE SLgnal Process. Mag. 8, 4 (Oct.), 14 38.
	10	G. Strang, Wavelets and dilation equations: a brief introduction, SIAM Review, v.31 n.4, p.614-627, Dec. 1989 [doi>10.1137/1031128]

CITED BY 2

	A. Benkrid , K. Benkrid, Handling finite length signals borders in two-channel multirate filter banks for perfect reconstruction, Signal Processing, v.86 n.2, p.375-387, February 2006
	Manfred Feil , Andreas Uhl, Wavelet packet image decomposition on MIMD Architectures, Real-Time Imaging, v.8 n.5, p.399-412, October 2002