Systems identification using pseudorandom noise applied to a sensorineural system

DOI10.1016/0898-1221(86)90065-9zbMath0601.93061OpenAlexW1965969027MaRDI QIDQ3737352

A. R. Moller

Publication date: 1986

Published in: Computers & Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0898-1221(86)90065-9

zbMATH Keywords

auditory nervous systempseudorandom noiseWiener kernel analysis

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Identification in stochastic control theory (93E12) Physiological, cellular and medical topics (92Cxx)

Cites Work

• Practical nonlinear system analysis by Wiener kernel estimation in the frequency domain
• On the choice of noise for the analysis of the peripheral auditory system
• Identification and modelling of a class of nonlinear systems
• Spectral analysis of non-linear systems involving square-law operations

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