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MathWorks Inc iir notch filter
Open-loop voltage (A) , Power spectrum (B) , and Mean-squared error (C) for filtered with open-source toolboxes and unfiltered signal. FieldTrip (discrete Fourier transform filter, default parameters) provides the fastest and the most accurate line noise removal compared <t>to</t> <t>MATLAB</t> solution (Butterworth notch filter with 2 Hz width), Chronux (default 5 tapers, bandwidth 3) and Brainstorm <t>(IIR</t> notch filter with 1 Hz width). Filtering times are averaged over 1,000 runs, MATLAB 2016a.
Iir Notch Filter, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 98/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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iir notch filter - by Bioz Stars, 2026-07
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Open-loop voltage (A) , Power spectrum (B) , and Mean-squared error (C) for filtered with open-source toolboxes and unfiltered signal. FieldTrip (discrete Fourier transform filter, default parameters) provides the fastest and the most accurate line noise removal compared to MATLAB solution (Butterworth notch filter with 2 Hz width), Chronux (default 5 tapers, bandwidth 3) and Brainstorm (IIR notch filter with 1 Hz width). Filtering times are averaged over 1,000 runs, MATLAB 2016a.

Journal: Frontiers in Neuroinformatics

Article Title: Comparing Open-Source Toolboxes for Processing and Analysis of Spike and Local Field Potentials Data

doi: 10.3389/fninf.2019.00057

Figure Lengend Snippet: Open-loop voltage (A) , Power spectrum (B) , and Mean-squared error (C) for filtered with open-source toolboxes and unfiltered signal. FieldTrip (discrete Fourier transform filter, default parameters) provides the fastest and the most accurate line noise removal compared to MATLAB solution (Butterworth notch filter with 2 Hz width), Chronux (default 5 tapers, bandwidth 3) and Brainstorm (IIR notch filter with 1 Hz width). Filtering times are averaged over 1,000 runs, MATLAB 2016a.

Article Snippet: Brainstorm reduces line noise with IIR notch filter (employing either filtfilt function from MATLAB Signal Processing toolbox or MATLAB filter function).

Techniques: