作者: Martti Juhola , Heikki Aalto , Timo Hirvonen
关键词: Finite impulse response 、 Digital filter 、 Computer vision 、 Computer science 、 Nonlinear system 、 Electrodiagnosis 、 Artificial intelligence 、 Eye movement 、 Electrooculography 、 Impulse (physics) 、 Low pass filtering
摘要: Influence of two filtering modes were researched with electro-oculographically recorded impulse-like eye movements. Linear finite impulse response (FIR) and nonlinear hybrid median filters explored by considering gain latency parameters that yield the most important information in case these It is stated carefully selected low pass can securely be run without considerable change sin parameter values order to discard noise stemming from physiological or other reasons.