euler predicted free nutation of the rotating earth in 1755 discovered by chandler in 1891
DESCRIPTION
Rotating solid. Euler predicted free nutation of the rotating Earth in 1755 Discovered by Chandler in 1891 Data from International Latitude Observatories setup in 1899. Monthly data, t = 1 month. Work with complex-values, Z(t) = X(t) + iY (t). - PowerPoint PPT PresentationTRANSCRIPT
Euler predicted free nutation of the rotating Earth in 1755
Discovered by Chandler in 1891
Data from International Latitude Observatories setup in 1899
Rotating solid
Monthly data, t = 1 month.
Work with complex-values, Z(t) = X(t) + iY(t).
Compute the location differences, Z(t), and then the finite FT
dZT() = t=0
T-1 exp {-it}[Z(t+1)-Z(t)]
= 2s/T , s = 0, 1, 2, …, T-1
Periodogram
IZZT() = (2T)-1|dZ
T()|2
variance
Appendix C. Spectral Domain Theory
4.3 Spectral distribution function
Cp. rv’s
f is non-negative, symmetric(, periodic)
White noise. (h) = cov{x t+h, xt} = w
2 h=0 and otherwise = 0 f() = w
2
dF()/d = f() if differentiable
dF() = f()d
Cramer representation/Spectral representation
Dirac delta function, () generalized function simplifies many t.s. manipulations
r.v. X Prob{X = 0} = 1 P(x) = Prob{X x} = 1 if x 0 = 0 if x < 0 = H(x) Heavyside E{g(X)} = g(0) = g(x) dP(x) = g(x) (x) dx
(x) density function = dH(x)/dx
Approximant X N(0,2 )
(x/)/ with small
E{g(X)} g(0)
cov{dZ(1),dZ(2)} = (1 – 2) f(1) d 1 d 2
Means 0 cov{X,Y} = E{X conjg(Y)} var{X} = E{|X|2}
Example. Bay of Fundy
flattened
Periodogram “sample spectral density”
Mean“correction”
Non parametric spectral estimation.
L = 2m+1
Fire video
Comb5
start about 13:00
Weighted average.
Expected value ( K( /B) /B) f(-) d
Kernel(“modified daniel”, c(3,3))
Bivariate series.
Two-sided case as well
AKA
Bivariate example. Gas furnace
Linear filters
Transfer function. amplitude, phase
A() = |A()| exp{ ()}
Impulse response: {aj}
Cramer representations
Xt = exp {i t}dZx ()
Yt = exp {i t} dZy()
= at-u exp{i u} dZx ()
= A() exp {i t} dZx ()
dZ y() = A() dZx ()
Cov{ dZx (), dZx() ] = ( – } fxx () d d
f yy() = |A()|2 fxx()
Interpretation of power spectrum
ARMA process
f yy () = |A()|2 fxx ( ) z = exp{ -I )
Xt = exp {i t}dZx ()
d() =