STRUCTURAL CLASSIFICATION OF MULTIINPUT NONLINEAR-SYSTEMS

被引：15

作者：

CHEN, HW

JACOBSON, LD

GASKA, JP

机构：

[1] Department of Neurology, University of Massachusetts Medical School, Worcester, 01655, MA

来源：

BIOLOGICAL CYBERNETICS | 1990年 / 63卷 / 05期

关键词：

D O I：

10.1007/BF00202751

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

We present new structural classification and parameter estimation results that are applicable to multi-input nonlinear systems. The mathematical relationships between the self- and cross-(Volterra and Wiener) kernels are derived for a basic two-input nonlinear structure (Fig. 1a). These results are then used to develop classification methods for more complicated two-input structures. Algorithms for estimating the parameters (linear and nonlinear subsystems) of these structures are also presented. © 1990 Springer-Verlag.

引用

页码：341 / 357

页数：17

共 52 条

[1] SPATIOTEMPORAL ENERGY MODELS FOR THE PERCEPTION OF MOTION [J].