Name
Title | ||
|---|---|---|
AN EFFICIENT LOW-COMPLEXITY ALGORITHM FOR CROSSTALK-RESISTANT ADAPTIVE NOISE CANCELLER |
Abstract | ||
|---|---|---|
This paper proposes an algorithmic and memory complexity re- duction of the well-know crosstalk-resistant adaptive noise can- celler (CTRANC). First, we show that the decorrelation approach is not accurate with the feedback structure. Consequently, a mini- mum based energy criterion approach more suitable with the cross- coupled structure, like the one proposed by Zinser et al., is pro- posed. Indeed, by using an additional stationarity assumption about the filter coefficients, we show that recursive gradient formulae could be rewritten as convolution operation. Simulation results show that the proposed algorithm is as efficient as the one proposed by Zinser despite its significantly lower complexity. |
Year | Venue | Field |
|---|---|---|
2009 | European Signal Processing Conference | Decorrelation,Crosstalk,Convolution,Algorithm,Reduction (complexity),Minification,Cepstral analysis,Recursion,Mathematics,Filter design |
DocType | ISBN | Citations |
Conference | 978-161-7388-76-7 | 2 |
PageRank | References | Authors |
0.41 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ludovick Lepauloux | 1 | 5 | 1.23 |
| Pascal Scalart | 2 | 925 | 283.73 |
| Claude Marro | 3 | 50 | 6.40 |