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Cross-spectral Analysis

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Presentation on theme: "Cross-spectral Analysis"— Presentation transcript:

1 Cross-spectral Analysis
Investigates the dependence or relationship between two time series. Begin by reviewing cross-correlation function – how similar two time series x , y are L = lag N = # of elements in time series Covariance or cross-covariance Cross-correlation -1 < ψxy < 1

2 Ensenada de la Paz

3 Current velocity in Ensenada de La Paz
Year Day

4 Current velocity and water level (red) in Ensenada de La Paz
Year Day

5 Current velocity and water level (red) in Ensenada de La Paz
Year Day

6 Cross-correlation between current velocity and water level in Ensenada de La Paz

7 Cross-correlation between current velocity and water level in Ensenada de La Paz

8 A generalization of: Complex Cross-correlation * is the complex conjugate

9 Complex Cross-correlation between vectors at 2 depths in Ensenada de La Paz
 w1w2 L

10 Complex Cross-correlation between vectors at 2 depths in Ensenada de La Paz

11 Complex Cross-correlation between vectors at 2 depths in Ensenada de La Paz

12 Coherence spectrum (squared coherency or coherence-squared function)
X is the Fourier Transform < > = running mean  = 0.1, 0.05, 0.01

13 Current velocity and water level (red) in Ensenada de La Paz
Year Day

14 Coherence squared window size= 2 cpd  = 0.1, 0.05, 0.01

15  = 0.1, 0.05, 0.01 window size= 25

16 JAMES RIVER DATA

17 99% Coherence 2 95% Window size= 10 Phase (deg)

18 Coherence 2 99% 95% Window size= 24 Phase (deg)

19

20 99% Coherence 2 95% Window size= 10 Phase (deg)

21 99% Coherence 2 95% Window size= 10 Phase (deg)

22 Coherence 2 99% 95% Window size= 24 Phase (deg)

23 Coherence 2 99% 95% Window size= 24 Phase (deg)

24


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