کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
563308 | 875488 | 2008 | 7 صفحه PDF | دانلود رایگان |
This paper presents a method for estimation of nonlinear communication channels using Gaussian wavelet estimator (GWE). Results obtained using this approach is compared with image enhanced interacting multiple model (IMM-IE) extracted from the literature. Comparison reveals that the IMM-IE and the GWE require the same number of Kalman filters, but the GWE extrapolates more initial conditions. If the performance of the two algorithms is equivalent, the IMM-IE is less complex, but GWE is technically efficient.Here, we have presented the state-space approach instead of the transfer function approach, as the state-space approach can be easily extended to nonlinear mixing systems. Moreover, the state-space approach not only gives an efficient internal description of the dynamic systems, but there also exist different possible equivalent state-space realizations.
Journal: Signal Processing - Volume 88, Issue 4, April 2008, Pages 769–775