Name
Abstract | ||
|---|---|---|
In noise removal by the approach of regularization, the regularization parameter is global. Constructing the variational model min g 驴f - g驴L2(R)2 +驴R(g), g is in some wavelets space. Through the wavelets pyramidal decompose and the different time-frequency properties between noise and signal, the regularization parameter is adaptively chosen, the different parameter is chosen in different level for adaptively noise removal. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1007/3-540-45333-4_52 | WAA |
Keywords | Field | DocType |
different time-frequency property,different level,wavelets approach,variational model min g,choosing adaptive regularization parameter,different parameter,wavelets pyramidal decompose,wavelets space,regularization parameter,noise removal,adaptively noise removal,wavelet,adaptive,noise,time frequency,sobolev space | Noise reduction,Applied mathematics,Discrete mathematics,Signal processing,Signal-to-noise ratio,Calculus of variations,Sobolev space,Regularization (mathematics),Geometry,Mathematics,Regularization perspectives on support vector machines,Wavelet | Conference |
ISBN | Citations | PageRank |
3-540-43034-2 | 0 | 0.34 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Feng Lu | 1 | 174 | 12.25 |
| Zhaoxia Yang | 2 | 34 | 9.48 |
| Yuesheng Li | 3 | 0 | 0.34 |