1995
DOI: 10.1016/0168-5597(94)00309-3
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An adaptive filter for steady-state evoked responses

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Cited by 106 publications
(70 citation statements)
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“…Electrode impedance was equal to or less than 5 k⍀. Data acquisition and stimulus presentation were controlled using an in-house software system (37,41).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Electrode impedance was equal to or less than 5 k⍀. Data acquisition and stimulus presentation were controlled using an in-house software system (37,41).…”
Section: Methodsmentioning
confidence: 99%
“…For each bin, a recursive, least-squares algorithm (41) was used to generate a series of complex-valued spectral coefficients representing the amplitude and phase of response components tuned to various multiples (harmonics) of the stimulus frequency. These spectral coefficients for each bin were averaged together across trials for each subject, channel, harmonic, and stimulus condition.…”
Section: Methodsmentioning
confidence: 99%
“…A recursive least square (RLS) adaptive filter (Tang and Norcia, 1995) was used to determine VEP amplitude and phase for the second-order terms (2f 1 , 2f 2 , f 1 ϩ f 2 and f 1 Ϫ f 2 ) and the fourth-order terms (4f 1 , 4f 2 , 2f 1 ϩ2 f 2 and 2 f 1 Ϫ2 f 2 ), where f 1 was 4.52 Hz and f 2 was 2.58 Hz. The target and flanker temporal frequencies were integer submultiples of the vertical frame rate (16 and 28) and were nearly incommensurate.…”
Section: Methodsmentioning
confidence: 99%
“…The sampled data was adaptively filtered in real-time on the MacDSP card using the method described in Tang & Norcia (1995). A Recursive Least Squares (RLS) adaptation algorithm was used in a modification of the Adaptive Noise Cancellation technique of Widrow et al (1975).…”
Section: Vep Data Acquisition and Response Analysismentioning
confidence: 99%