adaptive line enhancement
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2021 ◽  
Vol 18 (3) ◽  
pp. 291-302
Author(s):  
George Karraz

Power line interference is the main noise source that contaminates Electrocardiogram (ECG) signals and measurements. In recent years, adaptive filters with different approaches have been investigated to eliminate power line interference in ECG waveforms. Adaptive line enhancement filter is a special type of adaptive filter that, unlike other adaptive filters, does not require a reference signal and has potential application in ECG signal filtering. In this paper, a selflearning filter based on an adaptive line enhancement (ALE) filter is proposed to remove power line interference in ECG signals. We simulate the adaptive filter in MATLwith a noisy ECG signal and analyze the performance of algorithms in terms of signal-to-noise ratio (SNR) improvement. The proposed algorithm is validated with Physikalisch-Technische Bundesanstalt (PTB) ECG signals database. Additive white gaussian noise is added to the raw ECG signal. Influential parameters on the ALE filter performance such as filter delay, the convergence factor, and the filter length are analyzed and discussed.


Author(s):  
Preeti Hemnani ◽  
A. K. Rajarajan ◽  
Gopal Joshi ◽  
S. V. G. Ravindranath

<p>NQR spectrometer designed is composed of four modules; Transmitter, Probe, Receiver and computer controlled (FPGA &amp; Software) module containing frequency synthesizer, synchronous demodulator, pulse programmer and display. The function of the Transmitter module is to amplify the RF pulse sequence to about 200 W power level into the probe (50 Ohm) which is a parallel resonance circuit with a tapped capacitor. The probe excites the nucleus and picks-up the signal emitted from the nuclei. The nuclear signal at the same frequency as the excitation, which is typically in the range of a few microvolts is amplified, demodulated and filtered (1 kHz to 100 kHz) by receiver module. 14N NQR, 1H and 2H NMR signals are observed from the spectrometer.As the SNR of NQR signal is very low, NQR signal processing based on Adaptive Line Enhancement is presented.</p>


2013 ◽  
Vol 44 (12) ◽  
pp. 1381-1391 ◽  
Author(s):  
Qingming Xie ◽  
Lizhi Xiao ◽  
Lijun Cheng ◽  
Junfeng Liu ◽  
Hongying Li ◽  
...  

2011 ◽  
Vol 5 (5) ◽  
Author(s):  
Paria Shahabi ◽  
Mardeni Roslee ◽  
Mohsen Riahi Manesh ◽  
Teong Chee Chuah

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