میرجلیلی, علیرضا
دانشگاه یزد
[ 1 ] - بهبود کارایی طبقهبندیکننده مبتنی بر نمایش تنک برای طبقهبندی سیگنالهای مغزی
In this paper, the problem of classification of motor imagery EEG signals using a sparse representation-based classifier is considered. Designing a powerful dictionary matrix, i.e. extracting proper features, is an important issue in such a classifier. Due to its high performance, the Common Spatial Patterns (CSP) algorithm is widely used for this purpose in the BCI systems. The main disadvanta...
نویسندگان همکار