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Stochastic Resonance Adding Noise to a signal can help in its detection. Just the right amount of noise must be added (resonance) SR in Nature Periodic.

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Presentation on theme: "Stochastic Resonance Adding Noise to a signal can help in its detection. Just the right amount of noise must be added (resonance) SR in Nature Periodic."— Presentation transcript:

1 Stochastic Resonance Adding Noise to a signal can help in its detection. Just the right amount of noise must be added (resonance) SR in Nature Periodic ice age prediction Crayfish warnings of approaching bass - a periodic fin motion Dogfish spit noise to better detection. Neurons

2 Stochastic Resonance What Causes SR? Mathematical Definition
Non-Additive Noise Nonlinearities Mathematical Definition There is none

3 Example: Miyamoto Resonance
Add noise to image and threshold. Vary noise.

4 Most Studied System 1/s dx/dt x ax-bx3 +  sin(t) (t)

5 Numerics (Mataim et al. 1998)

6 Numerics (Mataim et al. 1998)

7 Numerics (Mataim et al. 1998)

8 Comparison of NP Optimal Detector
Coherent NP Correlator vs. Stochastic Resonance Assumptions Compared NP on input and after SR nonlinearity Detector COHERENT Noise = White Gaussian Galdi, Pierro, Pinto (Phys Review E, June 1998).

9 Comparison of NP Optimal Detectors
Coherent NP Correlator vs. Stochastic Resonance (4 dB) Galdi, Pierro, Pinto (Phys Review E, June 1998).

10 Noncoherent Noncoherent SR sign detector
Galdi, Pierro, Pinto (Phys Review E, June 1998).

11 Noncoherent Results Noncoherent correlator is about 3dB worse than coherent. Noncoherent SR is better than noncoherent correlator for low SNR Galdi, Pierro, Pinto (Phys Review E, June 1998).


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