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In this paper, an improved QRS detection algorithm, based on adaptive filtering principle, has been designed.
We consider different techniques for implementing compact beamformers reliably at high radio frequencies, and present signal processing techniques based on adaptive filtering methods for optimizing those beamformers.
A multi-channel active noise controller has been developed based on adaptive filtering, which can effectively work in three-dimensional (3-D) reverberant sound fields.
Compared with the state-of-the-art approach based on adaptive filtering, experimental results on industrial designs using 65 nm sub-threshold library demonstrate that our proposed IHCS approach can improve the pass rate by up to 7.3× with a speed up to 4.1×, using the same number of body biasing gates with about the same power consumption.
These can accurately track movement based on adaptive filtering, which minimizes the error in the predicted position based on dynamical and measurement models.
Second, the studies based on adaptive filtering use different SAAs that may diagnose the filtered ECG differently.
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In this paper, a new method based on adaptive filters (AF) is proposed in order to eliminate delay and increase the response of the TCR compensator.
A duct-type noise cancellation system based on adaptive filter theory was developed by Burgess [4] and Warnaka et al. [5].
Three of those methods are based on adaptive filters [ 10, 12, 20], and the other two are algorithms designed to directly diagnose the corrupt ECG [ 5, 6].
The higher sensitivity of methods based on adaptive filters may be explained by the fact that filtering residuals are frequently diagnosed as shockable by SAA designed to diagnose artifact-free ECG [ 14].
Although the sensitivity of our method is up to 4 points below that reported by methods based on adaptive filters, it is still above the value recommended by the AHA, which ensures the detection of a high proportion of shockable rhythms.
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