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Signal-to-noise ratio in stretch processing
T. Long
*
,
Y. Wang
,
T. Zeng
*
Corresponding author for this work
School of Information and Electronics
School of Mechatronical Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
10
Citations (Scopus)
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Engineering
Signal-to-Noise Ratio
100%
Noise Power
50%
Theoretical Basis
25%
Output Signal
25%
Output Noise
25%
Computer Science
Noise-to-Signal Ratio
100%
Theoretical Basis
25%
Spectral Representation
25%
Stochastic Process
25%
Physics
Signal-to-Noise Ratio
100%
Stochastic Process
25%