Paper Info
Title
Adaptive Wavelets for Signal Analysis
Abstract
. Construction of adaptive higher multiplicity wavelets is discussed.The proposed method uses parameterization of wavelet matrices.Large classes of wavelet matrices are searched to minimize a given costfunction on training data. The method is applied to a problem of detectingand possibly removing a disturbance of a certain kind from a signal.The importance of choosing the right cost function is demonstrated. It isshown that higher multiplicity wavelets adapted to this task are clearly...
Year
DOI
Venue
1995
10.1007/3-540-60268-2_401
CAIP
Keywords
Field
DocType
adaptive wavelets,signal analysis,cost function
Signal processing,Pattern recognition,Computer science,Matrix (mathematics),Network packet,Artificial intelligence,Daubechies wavelet,Wavelet packet decomposition,Signal transfer function,Signal reconstruction,Wavelet
Conference
ISBN
Citations 
PageRank 
3-540-60268-2
1
1.21
References 
Authors
5
2
Name
Order
Citations
PageRank
Jaroslav Kautsky110820.75
Radka Turcajová2124.29