makeNoise {astrochron} | R Documentation |
Generate noise surrogates from a theoretical power spectrum.
makeNoise(S,dt=1,mean=0,sdev=1,addPt=F,nsim=1,genplot=T,verbose=T)
S |
Vector or 1-D data frame containing the theoretical power, from f(0) to the Nyquist frequency. |
dt |
Sampling interval for surrogate series |
mean |
Mean value for surrogate series |
sdev |
Standard deviation for surrogate series |
addPt |
Did you add a Nyquist frequency? (T or F) |
nsim |
Number of surrogate series to generate |
genplot |
generate summary plots (T or F) |
verbose |
verbose output (T or F) |
These simulations use the random number generator of Matsumoto and Nishimura [1998]. The algorithm of Timmer and Konig (1995) is employed to generate surrogates from any arbitrary theoretical power spectrum. See examples section below.
M. Matsumoto, and T. Nishimura, (1998), Mersenne Twister: A 623-dimensionally equidistributed uniform pseudo-random number generator, ACM Transactions on Modeling and Computer Simulation, 8, 3-30.
J. Timmer and K. Konig (1995), On Generating Power Law Noise, Astronomy and Astrophysics: v. 300, p. 707-710.
# create theoretical AR1 spectrum, using rho of 0.8 rho=0.8 freq=seq(0,.5,by=0.005) Nyq=max(freq) AR1 = (1-(0.8^2)) / ( 1 - (2*0.8*cos(pi*freq/Nyq)) + (0.8^2) ) plot(freq,AR1,type="l") # make noise surrogates from the theoretical AR1 spectrum makeNoise(AR1)