Signal quality indices for state space electrophysiological signal processing and vice versa

2015 ◽  
pp. 345-366 ◽  
Author(s):  
J. Oster ◽  
G. D. Clifford
Keyword(s):  
Signal Processing ◽  
State Space ◽  
Signal Quality ◽  
Quality Indices ◽  
Electrophysiological Signal

scholarly journals Assessing ECG signal quality indices to discriminate ECGs with artefacts from pathologically different arrhythmic ECGs

2016 ◽  
Vol 37 (8) ◽  
pp. 1370-1382 ◽  
Author(s):  
C Daluwatte ◽  
L Johannesen ◽  
L Galeotti ◽  
J Vicente ◽  
D G Strauss ◽  
...  
Keyword(s):  
Signal Quality ◽  
Ecg Signal ◽  
Quality Indices

scholarly journals An Effective Watermarking Method Based on Energy Averaging in Audio Signals

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
S. E. Tsai ◽  
S. M. Yang
Keyword(s):  
Signal Processing ◽  
Data Compression ◽  
Error Correcting Code ◽  
Audio Signal ◽  
Segment Length ◽  
Signal Quality ◽  
Audio Signals ◽  
Segment Sequence ◽  
Audio Quality ◽  
Dct Coefficients

Methods based on discrete cosine transform (DCT) have been proposed for digital watermarking of audio signals; however, the watermark is often vulnerable to data compression and signal processing. This paper presents an effective audio watermarking method by energy averaging of DCT coefficients such that an audio signal with watermark is robust to data processing. The method is to divide an audio signal into segments by three parameters defining the segment length, the segment sequence of watermark location, and the frequency range of DCT coefficients for watermark location. An error correcting code is also integrated to improve audio signal quality after watermarking. Experimental results show that the method is robust to data compression and many other kinds of signal processing. No original signal is required for decoding the watermark. Comparison of watermarking performance with a recent work validates that the watermarking method has better audio quality and higher robustness.

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