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For comparison, a 10 μm pore width filter with circular pores was also tested.
When sharp transition width filter banks are to be implemented, the order of the filters will become very high.
An average filtration flux of 3000 l m−2 h−1 could be maintained with the 2 μm pore width filter by including a backflush, but it was important to exclude air from the filter; otherwise the capillary pressure to be overcome in order to remove the air from the filter became excessive.
The criteria for peak detection were: signal/noise ratio >5.2 Da peak width filter, and maximum peak number of 200.
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Very narrow transition width filters with low complexity can be achieved using frequency response masking (FRM) filter as prototype filter.
The strategy is to employ multiple uniform grids in a nested hierarchy using a constant-width filter for each grid.
As the receiver is equipped with a band-width filter, we could apply the filter's frequency response to calculate the leaked interference signal.
EEG was digitized at 500 Hz, and band-width filtered at 0.01 200 Hz, with the vertex electrode (Cz) serving as an on-line recording reference.
We used spectrograms made with 128-Hz frequency-width Gaussian filters for the spectral filtering and 32-Hz frequency-width for the temporal filtering.
The width of the filter at different filter values is obtained by evaluating the Laplacian of the Gaussian spatial distribution along the x and y directions.
The spectral data was processed by using Shimadzu Biotech MALDI-MS software with processing parameters as follows: smoothing filter width as 20 channels, baseline filter width as 80 channels, and double threshold.
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