Study on Pulse Wave Signal Noise Reduction and Feature Point Identification

2013 ◽  
Vol 8 (9) ◽  
pp. 953-960 ◽  
Author(s):  
ZHAO Zhiqiang ◽  
ZHENG Guowei ◽  
PANG Yu ◽  
SHENG wei ◽  
LIAO cheng ◽  
...  
Keyword(s):  
Noise Reduction ◽  
Pulse Wave ◽  
Feature Point ◽  
Signal Noise ◽  
Wave Signal

Pulse Wave Signal Feature Recognition Based on Time-domain Differential Period Ratio

2020 ◽  
Vol 49 (12) ◽  
pp. 51-60
Author(s):  
范保存 Bao-cun FAN ◽  
王彦 Yan WANG ◽  
黄晨晨 Chen-chen HUANG ◽  
葛子阳 Zi-yang GE ◽  
金萍 Ping JIN
Keyword(s):  
Time Domain ◽  
Feature Recognition ◽  
Pulse Wave ◽  
Period Ratio ◽  
Wave Signal

Projective Noise Reduction Algorithm for Negative Pressure Wave Signal Processing

2008 ◽  
Author(s):  
Dongliang Yu ◽  
Laibin Zhang ◽  
Liang Wei ◽  
Zhaohui Wang
Keyword(s):  
Noise Reduction ◽  
Negative Pressure ◽  
Pressure Wave ◽  
Random Noise ◽  
Background Signal ◽  
Long Distance ◽  
Noise Component ◽  
Wave Signal ◽  
Non Linear ◽  
Negative Pressure Wave

The appearance of a rupture, leak or damage in the long-distance oil & gas pipeline, which could cause a leak, usually generates a non-linear & chaotic negative pressure wave signal. By properly interpreting the negative pressure wave signature, it is possible to detect a leak along the pipeline. Most traditional noise reduction methods are established based on the linear system, which are not in line with the actual non-linear & chaotic situation. Therefore, the weak negative pressure wave signals, generated by small leaks, are often filtered out and cause false alarm and failure alarm. In order to resolve the problem, this paper uses the non-linear projective algorithm for noise reduction. First, the weak negative pressure wave signal series would be reconstructed using delay coordinates, in the high dimensional phase space, the background signal, the negative pressure wave signal and the noise signal are separated into different sub-spaces. Through the reconstruction of sub-spaces, the weak pressure wave signal can be isolated from the background signal as well as the random noise component reduced.

scholarly journals Noise Reduction Model of Blasting Seismic Wave Signal

2020 ◽  
Vol 560 ◽  
pp. 012055
Author(s):  
Miao Sun ◽  
Li Wu ◽  
Qing Yuan ◽  
Yuchun Zhou ◽  
Chenyang Ma ◽  
...  
Keyword(s):  
Noise Reduction ◽  
Seismic Wave ◽  
Reduction Model ◽  
Wave Signal
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