Title :
Constrained crosstalk resistant adaptive noise canceller
Author :
Parsa, Vijay ; Parker, Philip
Author_Institution :
Dept. of Electr. Eng., New Brunswick Univ., Fredericton, NB
fDate :
8/4/1994 12:00:00 AM
Abstract :
The performance of an adaptive noise canceller (ANC) is sensitive to the presence of signal `crosstalk´ in the reference channel. The authors propose a novel approach to crosstalk resistant adaptive noise cancellation, namely the constrained crosstalk resistant adaptive noise canceller (CCRANC). The theoretical analysis of the CCRANC along with the constrained algorithm is presented. The performance of the CCRANC in recovering somatosensory evoked potentials (SEPs) from myoelectric interference is then evaluated through simulations
Keywords :
adaptive systems; bioelectric potentials; crosstalk; interference suppression; medical signal processing; adaptive noise canceller; constrained algorithm; crosstalk resistant canceller; myoelectric interference; reference channel; somatosensory evoked potentials;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19940871