RSEIS (version 2.3-3)

setwelch: Set up Matrix of fft for Welch method

Description

Prepares a matrix for estimation of power spectrum via Welch's method. Also, is can be used for spectrogram.

Usage

setwelch(X, win = min(80, floor(length(X)/10)), inc = min(24, floor(length(X)/30)), coef = 64, wintaper=0.05)

Arguments

X

Time series vector

win

window length

inc

increment

coef

coefficient for fft

wintaper

percent taper window taper

Value

• List:
• values
  Matrix of fft's staggered along the trace
• windowsize
  window length used
• increment
  increment used
• wintaper
  percent taper window taper

References

Welch, P.D. (1967) The use of Fast Fourier Transform for the estimation of power spectra: a method based on time averaging over short, modified periodograms IEEE Trans. Audio Electroacoustics 15, 70-73.

See Also

stft

Examples

dt = 0.001

 t = seq(0, 6, by=dt)
x = 6*sin(2*pi*50*t) + 10* sin(2*pi*120*t)
 y = x + rnorm(length(x), mean=0, sd=10)

plot(t,y, type='l')

title('sin(2*pi*50*t) + sin(2*pi*120*t)+ rnorm')

Y = fft(y)

Pyy = Y * Conj(Y)

N = length(y)

n = length(Pyy)/2

Syy = (Mod(Pyy[1:n])^2)/N

fn = 1/(2*dt)


f = (0:(length(Syy)-1))*fn/length(Syy)

plot(f, Syy, type='l', log='y' , xlim=c(0, 150));
abline(v=c(50, 120),col='blue', lty=2)


plot(f, Syy, type='l', log='y' , xlim=c(0, 150));
abline(v=c(50, 120),col='blue', lty=2)


win=1024

inc=min(24, floor(length(y)/30))
coef=2048


 w<-setwelch(y, win=win, inc=inc, coef=coef, wintaper=0.2)

    KK = apply(w$values, 2, FUN="mean")


fw=seq(from=0, to=0.5, length=coef)/(dt)

plot(fw, KK^2, log='', type='l' , xlim=c(0, 150)) ;
abline(v=c(50, 120), col='blue', lty=2)


Wyy = (KK^2)/w$windowsize
plot(f, Syy, type='l', log='y' , xlim=c(0, 150))
lines(fw,Wyy , col='red')


DBSYY = 20*log10(Syy/max(Syy))
DBKK =20*log10(Wyy/max(Wyy))


plot(f, DBSYY, type='l' , xlim=c(0, 150), ylab="Db", xlab="Hz")

lines(fw, DBKK, col='red')
title("Compare simple periodogam with Welch's Method")