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Published byStephanie Bradley Modified over 6 years ago
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3.4.3 Notch and comb filters To remove periodic artifacts
(periodic in the time domain) (discrete in the frequency domain)
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3.4.3 Notch and comb filters To remove periodic artifacts
(periodic in the time domain) (discrete in the frequency domain) Figure 3.40
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DC gain = ?
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Figure 3.41
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Figure 3.42
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Figure 3.43
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Figure 3.44
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Figure 3.45
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3.5 Optimal filtering: the Wiener filter
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3.6 Adaptive filters for removal of interference
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3.7 filter selection Synchronized averaging:
Signal: stationary or cyclo-stationary Signal: Periodic or quasi-periodic Synchronization is possible Noise: stationary, random, uncorrelated with the signal, zero mean
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MA averaging: Signal: stationary (over the window duration) Noise: stationary (over the window duration) , zero mean Signal: low-frequency on-line, real-time
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Frequency-domain fixed filter:
Signal: stationary Noise: stationary signal is band-limited or noise is band-limited
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Optimal filter: * Signal: stationary
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Adaptive filter: Signal: not necessarily stationary uncorelated between signal and noise No information about the signal and the noise Reference is available
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Adaptive filter:
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HW
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5. N = 2 - 8 Fc = 0.5 – 5
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