𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Global Support of a Scaling Vector

✍ Scribed by David K. Ruch; Wasin So; Jianzhong Wang


Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
100 KB
Volume
5
Category
Article
ISSN
1063-5203

No coin nor oath required. For personal study only.

✦ Synopsis


Multiwavelet decompositions are based on scaling vectors satisfying matrix refinement equations. The support and linear independence of scaling vectors play an essential role in the study of multiwavelets. In this paper we relate these properties with the coefficients in the matrix refinement equation satisfied by the scaling vector.


πŸ“œ SIMILAR VOLUMES


On the Support Properties of Scaling Vec
✍ Peter R. Massopust; David K. Ruch; Patrick J. Van Fleet πŸ“‚ Article πŸ“… 1996 πŸ› Elsevier Science 🌐 English βš– 210 KB

304] derived support properties for a scaling function generating a function space V 0 βŠ† L 2 (R). Motivated by this work, we consider support properties for scaling vectors. T. N. T. Goodman and S. L. Lee [Trans. Amer. Math. Soc. 342, No. 1 (Mar. 1994), 307-324] derived necessary and sufficient cond

A tutorial on Ξ½-support vector machines
✍ Pai-Hsuen Chen; Chih-Jen Lin; Bernhard SchΓΆlkopf πŸ“‚ Article πŸ“… 2005 πŸ› John Wiley and Sons 🌐 English βš– 320 KB
A Bayesian nonlinear support vector mach
✍ Tony Van Gestel; Marcelo Espinoza; Bart Baesens; Johan A. K. Suykens; Carine Bra πŸ“‚ Article πŸ“… 2006 πŸ› John Wiley and Sons 🌐 English βš– 385 KB

The use of linear error correction models based on stationarity and cointegration analysis, typically estimated with least squares regression, is a common technique for financial time series prediction. In this paper, the same formulation is extended to a nonlinear error correction model using the i

A recurrent support vector regression mo
✍ Ping-Feng Pai; Wei-Chiang Hong πŸ“‚ Article πŸ“… 2007 πŸ› John Wiley and Sons 🌐 English βš– 294 KB

## Abstract To minimize potential loss of life and property caused by rainfall during typhoon seasons, precise rainfall forecasts have been one of the key subjects in hydrological research. However, rainfall forecast is made difficult by some very complicated and unforeseen physical factors associa