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Journal: Sensors (Basel, Switzerland)
Article Title: A Novel Piecewise Tri-Stable Stochastic Resonance System Driven by Dichotomous Noise
doi: 10.3390/s23021022
Figure Lengend Snippet: Input signal with AWGN of different D ( a ) time domain ( D = 0.5), ( b ) frequency domain ( D = 0.5), ( c ) time domain ( D = 0.7), ( d ) frequency domain ( D = 0.7), ( e ) time domain ( D = 0.9), ( f ) frequency domain ( D = 0.9), ( g ) time domain ( D = 1.1), ( h ) frequency domain ( D = 1.1).
Article Snippet:
Techniques:
Journal: Sensors (Basel, Switzerland)
Article Title: A Novel Piecewise Tri-Stable Stochastic Resonance System Driven by Dichotomous Noise
doi: 10.3390/s23021022
Figure Lengend Snippet: Output signal with AWGN of different D ( a ) time domain ( D = 0.5), ( b ) frequency domain ( D = 0.5), ( c ) time domain ( D = 0.7), ( d ) frequency domain ( D = 0.7), ( e ) time domain ( D = 0.9), ( f ) frequency domain ( D = 0.9), ( g ) time domain ( D = 1.1), ( h ) frequency domain ( D = 1.1).
Article Snippet:
Techniques:
Journal: Sensors (Basel, Switzerland)
Article Title: A Novel Piecewise Tri-Stable Stochastic Resonance System Driven by Dichotomous Noise
doi: 10.3390/s23021022
Figure Lengend Snippet: Comparison of high-value D ( a ) input time spectrum with dichotomous noise, ( b ) input frequency spectrum with dichotomous noise, ( c ) output time spectrum with dichotomous noise, ( d ) output frequency spectrum with dichotomous noise, ( e ) input time spectrum with AWGN, ( f ) input frequency spectrum with AWGN, ( g ) output time spectrum with AWGN, ( h ) output frequency spectrum with AWGN.
Article Snippet:
Techniques: Comparison