Name
Abstract | ||
|---|---|---|
To overcome the limitations of the existing algorithms for active impulsive noise control, an algorithm based on minimizing the squared logarithmic transformation of the error signal is proposed in this correspondence. The proposed algorithm is more robust for impulsive noise control and does not need the parameter selection and thresholds estimation according to the noise characteristics. These are verified by theoretical analysis and numerical simulations. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/TASL.2010.2061227 | Audio, Speech, and Language Processing, IEEE Transactions |
Keywords | DocType | Volume |
impulsive noise,error signal,squared logarithmic transformation,existing algorithm,logarithmic transformation,noise characteristic,active noise control (anc),impulse noise,filtered-x least mean square (fxlms),impulsive noise control,alpha stable,theoretical analysis,fxloglms,active noise control,proposed algorithm,active impulsive noise control,numerical simulation,parameter selection,error correction,noise reduction,robust control,iterative algorithm,helium,indexing terms,low frequency noise,least mean square | Journal | 19 |
Issue | ISSN | Citations |
4 | 1558-7916 | 9 |
PageRank | References | Authors |
0.81 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lifu Wu | 1 | 22 | 2.65 |
| Hongsen He | 2 | 23 | 4.89 |
| Xiaojun Qiu | 3 | 57 | 9.74 |