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Techniques to date have utilized temporal filtering strategies to either shape these autocorrelations or remove them.
In this section, two HRTF-based inverse filtering strategies designed for two passengers and 5.1-channel input are presented.
Although the spectral filtering strategies associated with various search tools investigated seem stable, it is still possible that the developers may change their filtering strategies in the future.
The correlation between any pair of filtering strategies can be quantified.
That the filtering strategies extracted are accurate can be seen from Figure S1.
We are thus limited to search tools whose source programs are available or those with filtering strategies clearly documented.
Instead of elaborating on various filtering strategies, let us first use a experimentally obtained spectrum to demonstrate the effect of spectral filtering employed by different methods.
As such similar targeted re-sequencing approaches and bioinformatics filtering strategies might become a gold standard for individually tailored colorectal cancer treatment in the future.
The correlation between every pair of filtered spectra can then be collected to form the correlation histogram, reflecting the correlation between a pair of filtering strategies.
For this reason, SNP filtering strategies vary, and we consider these for each test separately.
Filtering strategies can be used to improve the performance of these classifiers [ 38, 39].
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