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https://doi.org/10.2498/cit.2000.04.08

Analysis of Different Low Complexity Nonlinear Filters for Acoustic Echo Cancellation

Giovanni L. Sicuranza
Andrea Fermo
Alberto Carini

Puni tekst: engleski, pdf (273 KB) str. 333-339 preuzimanja: 761* citiraj
APA 6th Edition
Sicuranza, G.L., Fermo, A. i Carini, A. (2000). Analysis of Different Low Complexity Nonlinear Filters for Acoustic Echo Cancellation. Journal of computing and information technology, 8 (4), 333-339. https://doi.org/10.2498/cit.2000.04.08
MLA 8th Edition
Sicuranza, Giovanni L., et al. "Analysis of Different Low Complexity Nonlinear Filters for Acoustic Echo Cancellation." Journal of computing and information technology, vol. 8, br. 4, 2000, str. 333-339. https://doi.org/10.2498/cit.2000.04.08. Citirano 28.02.2021.
Chicago 17th Edition
Sicuranza, Giovanni L., Andrea Fermo i Alberto Carini. "Analysis of Different Low Complexity Nonlinear Filters for Acoustic Echo Cancellation." Journal of computing and information technology 8, br. 4 (2000): 333-339. https://doi.org/10.2498/cit.2000.04.08
Harvard
Sicuranza, G.L., Fermo, A., i Carini, A. (2000). 'Analysis of Different Low Complexity Nonlinear Filters for Acoustic Echo Cancellation', Journal of computing and information technology, 8(4), str. 333-339. https://doi.org/10.2498/cit.2000.04.08
Vancouver
Sicuranza GL, Fermo A, Carini A. Analysis of Different Low Complexity Nonlinear Filters for Acoustic Echo Cancellation. Journal of computing and information technology [Internet]. 2000 [pristupljeno 28.02.2021.];8(4):333-339. https://doi.org/10.2498/cit.2000.04.08
IEEE
G.L. Sicuranza, A. Fermo i A. Carini, "Analysis of Different Low Complexity Nonlinear Filters for Acoustic Echo Cancellation", Journal of computing and information technology, vol.8, br. 4, str. 333-339, 2000. [Online]. https://doi.org/10.2498/cit.2000.04.08

Sažetak
Linear filters are often employed in most signal processing applications. As a matter of fact, they are well understood within a uniform theory of discrete linear systems. However, many physical systems exhibit some nonlinear behaviour, and in certain situations linear filters perform poorly. One case is the problem of acoustic echo cancellation, where the digital filter employed has to identify as close as possible the acoustic echo path that is found to be highly nonlinear. In this situation a better system identification can be achieved by a nonlinear filter. The problem is to find a nonlinear filter structure able to realize a good approximation of the echo path without any significant increase of the computational load. Conventional Volterra filters are well suited for modelling that system but they generally need too many computational resources for a real time implementation. In this paper we consider some low complexity nonlinear filters in order to find out a filter structure able to achieve performances close to those of the Volterra filter, but with a reduced increase of the computational load in comparison to the linear filters commonly employed in commercial acoustic echo cancellers.

Hrčak ID: 44831

URI
https://hrcak.srce.hr/44831

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