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1 Randomly Modulated Periodic Signals Melvin J. Hinich hinich@austin.utexas.edu Applied Research Laboratories University of Texas at Austin http://web.austin.utexas.edu/hinich/
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2 Rotating Cylinder Data
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3 Cat Brain EEG Seizure
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4 Daily Sunspots
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5 Hourly Alberta Electricity Demand
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6 Hourly Alberta Electricity Prices
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7 One Week of Yen/US $ Returns
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8 Canadian $/US $ Rates of Return
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9 Bassoon Note
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10 Flute Note
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11 Definition of a RMP A signal is called a randomly modulated periodicity with period T=N if it is of the form
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12 Random Modulations are jointly dependent random processes that satisfy two conditions: Periodic block stationarity
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13 Finite Dependence Condition needed to ensure that averaging over frames yields asymptotically gaussian estimates are independently distributed if
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14 Fourier Series for Components
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15 Signal Plus Noise The modulation is part of the signal It is not measurement noise
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16 Artificial Data Examples
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17 Five Standard Deviations
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18 Three Standard Deviations
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19 Two Standard Deviations
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20 One Standard Deviation
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21 No Correlation in the Modulation
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22 Block Data into Frames The data block is divided into M frames of length T The t-th observation in the mth frame is T is chosen by the user to be the period of the periodic component
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23 Signal Coherence Function
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24 Frame Rate Synchronization The frame length T is chosen by the user to be the hypothetical period of the randomly modulated periodic signal. If T is not an integer multiple of the true period then coherence is lost.
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25 Signal Coherence Spectrum The signal-to-noise ratio is
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26 Estimating Signal Coherence
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27 Statistical Measure of Modulation SNR
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28 Chi Squared Statistic
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29 Coherent Part of the Mean Frame
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30 Spectrum of the Variance Fourier Series Expansion
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31 Sunspot Spectra
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34 Power & Signal Coherence Spectra - Demand
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35 Power & Signal Coherence Spectra - Prices
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36 Yen/$ Spectrum & Coherencies
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37 Exchange Rates Data 25 exchange rate series sampled half-hourly for the whole of 1996 with weekends removed. The weekend period is from 23:00 GMT on Friday when North American financial centres close until 23:00 GMT on Sunday when Australasian markets open. The incorporation of such prices would lead to spurious zero returns and would potentially render trading strategies which recommended a buy or sell at this time to be nonsensical. Removal of these weekend observations leaves 12,575 observations for subsequent analysis.
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38 Summary Statistics
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39 Coherence Results I
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40 Coherence Results II
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41 Coherent Part of Yen/$ Mean Frame
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42 Descriptive Statistics of Canadian$/US$ Daily Data 20.7 Sample size = 7569 20.7 Years Mean = 0.557E-04 Std Dev = 0.270E-02 Skew = 0.933E-01 Kurtosis = 3.62 Max value = 0.191E-01 Min value = -0.184E-01 40186.8 Frames = 40 Frame Length = 186.8 Frequencies in band = 93 Maximum coherence probability = 0.999999 Coherence threshold = 0.35
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43 Canadian$/US$ Daily Data Spectra
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44 Waterfall Spectrograms of RMP+Noise SNR = - 38 dB
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45 Sigcoh Probability Waterfall of RMP+Noise SNR = - 38 dB
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46 Waterfall Spectrograms of RMP+Noise SNR = - 44 dB
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47 Sigcoh Probability Waterfall of RMP+Noise SNR = - 44 dB
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48 Winglet Vibration Data
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49 Winglet Spectrum & Coherencies
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50 Prewhitened Winglet Spectra
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51 Tuned Prewhitened Winglet Spectra
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52 Noise Like Signal
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