自适应模块化拉盖尔非线性模型

Proceedings of IEEE 6th Digital Signal Processing Workshop Pub Date : 1994-10-02 DOI:10.1109/DSP.1994.379830

Z. Fejzo, H. Lev-Ari

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引用次数: 1

摘要

提出了一种自适应非线性估计技术(基于多项式模型)，该技术保证了稳定性并节省了系数的使用，从而与自适应Volterra滤波器相比，在降低计算复杂度的情况下实现了最优或接近最优的性能。此外，建议的结构显示出高度的并行性，这使得它适合于VSLI实现

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Adaptive modular Laguerre non-linear model

Presents an adaptive nonlinear estimation technique (polynomial model-based) that has guaranteed stability and makes parsimonious use of coefficients, thereby achieving optimal, or close to optimal, performance with reduced computational complexity when compared to the adaptive Volterra filters. Additionally the suggested structure exhibits a high degree of parallelism which makes it suitable for VSLI implementation.<>

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Proceedings of IEEE 6th Digital Signal Processing Workshop

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