title: Frequency tracking and variable bandwidth for line noise filtering without a reference.
abstract: This paper presents a method for filtering line noise using an adaptive noise canceling (ANC) technique. This method effectively eliminates the sinusoidal contamination while achieving a narrower bandwidth than typical notch filters and without relying on the availability of a noise reference signal as ANC methods normally do. A sinusoidal reference is instead digitally generated and the filter efficiently tracks the power line frequency, which drifts around a known value. The filter's learning rate is also automatically adjusted to achieve faster and more accurate convergence and to control the filter's bandwidth. In this paper the focus of the discussion and the data will be electrocorticographic (ECoG) neural signals, but the presented technique is applicable to other recordings.
authors.affiliation: Dept of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA. kelly@ece.cmu.edu
authors.forename: John W
authors.initials: JW
authors.lastname: Kelly
authors.forename: Jennifer L
authors.initials: JL
authors.lastname: Collinger
authors.forename: Alan D
authors.initials: AD
authors.lastname: Degenhart
authors.forename: Daniel P
authors.initials: DP
authors.lastname: Siewiorek
authors.forename: Asim
authors.initials: A
authors.lastname: Smailagic
authors.forename: Wei
authors.initials: W
authors.lastname: Wang
mesh_terms: D016477:Artifacts; D004569:Electroencephalography / Q000379:methods*; D012015:Reference Standards; D012815:Signal Processing, Computer-Assisted; D059629:Signal-To-Noise Ratio