Adaptive nonlinear recursive state-space filters
作者： F.X.Y. Gao , W.M. Snelgrove
DOI: 10.1109/82.331547
关键词:
摘要: Adaptive nonlinear filters previously reported often employ truncated Volterra series and have a finite impulse response (FIR). This paper introduces state-space structure for adaptive filters. The are recursive thus generally an infinite (IIR). They expected to be useful many applications especially attractive those with long memories where FIR too expensive use. Efficient methods, which significantly reduce computation gradients, been developed facilitate further their application in real-time signal processing. Numerical simulations performed demonstrate the properties of proposed algorithms. >
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