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copyright Robert J. Marks II

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1 copyright Robert J. Marks II
ECE 5345 Multiple Random Variables: Stochastic Resonance copyright Robert J. Marks II

2 copyright Robert J. Marks II
Stochastic Resonance Stochastic resonance is loosely defined as the phenomena in a detection process wherein the addition of just the right amount and type of noise improves performance. Too little or too much noise result in degraded performance. copyright Robert J. Marks II

3 copyright Robert J. Marks II
Stochastic Resonance Too Little Noise Just Right! Too Much Noise copyright Robert J. Marks II

4 copyright Robert J. Marks II
Stochastic Resonance Dynamic Stochastic resonance Squint Your Eyes Original Image Too Little Noise Just Right! Too Much Noise copyright Robert J. Marks II

5 Binary Stochastic Process
Stochastic Resonance Binary Stochastic Process Signal Threshold Unit Step Noise copyright Robert J. Marks II

6 copyright Robert J. Marks II
Stochastic Resonance copyright Robert J. Marks II

7 copyright Robert J. Marks II
Stochastic Resonance: The expected value is the signal run through a nonlinearity specified by the CDF of the noise. copyright Robert J. Marks II

8 copyright Robert J. Marks II
Stochastic Resonance in Uniform Noise The normalized histogram for E[Z(t)] is where copyright Robert J. Marks II

9 copyright Robert J. Marks II
Stochastic Resonance in Uniform Noise Correct value of  gives “exact” results! copyright Robert J. Marks II

10 copyright Robert J. Marks II
uniform noise: - to  about 0.5 copyright Robert J. Marks II

11 copyright Robert J. Marks II
Averaging copyright Robert J. Marks II

12 copyright Robert J. Marks II


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