Shrinkage-based biased signal-to-noise ratio estimator using pilot and data symbols for linearly modulated signals

2015 ◽  
Vol 9 (11) ◽  
pp. 1388-1395
Author(s):  
Chee-Hyun Park ◽  
Soojeong Lee ◽  
Joon-Hyuk Chang
Keyword(s):  
Signal To Noise Ratio ◽  
Ratio Estimator ◽  
Signal To Noise ◽  
Noise Ratio ◽  
Modulated Signals

STOCHASTIC RESONANCE IN CHUA’S CIRCUIT DRIVEN BY AMPLITUDE OR FREQUENCY MODULATED SIGNALS

1994 ◽  
Vol 04 (02) ◽  
pp. 441-446 ◽  
Author(s):  
V.S. ANISHCHENKO ◽  
M.A. SAFONOVA ◽  
L.O. CHUA
Keyword(s):  
Numerical Simulation ◽  
Stochastic Resonance ◽  
Signal To Noise Ratio ◽  
Point Of View ◽  
Chua’S Circuit ◽  
Signal Distortion ◽  
Signal To Noise ◽  
Chua's Circuit ◽  
Noise Ratio ◽  
Modulated Signals

Using numerical simulation, we establish the possibility of realizing the stochastic resonance (SR) phenomenon in Chua’s circuit when it is excited by either an amplitude-modulated or a frequency-modulated signal. It is shown that the application of a frequency-modulated signal to a Chua’s circuit operating in a regime of dynamical intermittency is preferable over an amplitude-modulated signal from the point of view of minimizing the signal distortion and maximizing the signal-to-noise ratio (SNR).

Performance of Signal-to-Noise Ratio Estimator with Adaptive Modulation

2012 ◽  
Author(s):  
Scott Carr Ken Lye ◽  
Mohammad Sigit Arifianto ◽  
Hoe Tung Yew ◽  
Chung Fan Liau ◽  
Kenneth Tze Kin Teo
Keyword(s):  
Signal To Noise Ratio ◽  
Adaptive Modulation ◽  
Ratio Estimator ◽  
Signal To Noise ◽  
Noise Ratio
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