Reduced-complexity equaliser for nonlinear channels

被引：6
|
作者：
Gonzalez-Serrano, FJ
Perez-Cruz, F
Artes-Rodriguez, A
机构：
[1] Univ Vigo, DTC, ETSI Telecomunicac, Vigo 35200, Spain
[2] UPM, DSSR, ETSI Telecomunicac, Madrid 28040, Spain
来源：
ELECTRONICS LETTERS | 1998年 / 34卷 / 09期
关键词：
D O I：
10.1049/el:19980618
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The generalised cerebellar model arithmetic computer (GCMAC) network is applied to the problem of adaptive equalisation of nonlinear channels. The GCMAC-based equaliser is compared with other well-known structures such as the Volterra filter and the multi-layer perceptron. The results obtained show the effectiveness of the proposed structure for compensating strong nonlinearities.
引用
收藏
页码：856 / 858
页数：3
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