SmoothedPeriodogram: Smoothed periodogram

In dpwynne/mmnst: Multiscale Modeling of Neural Spike Trains

Smoothed periodogram

Description

Calculates the smoothed periodogram.

Usage

SmoothedPeriodogram(data, f, T.data, m = 5, coef.step = 0.01)

Arguments

data	a numeric vector containing the spike times for the analyzed spike train.
f	a numeric vector containing frequency estimates for a particular model.
T.data	the length of the data recording window.
m	a scalar determining the number of steps on each side of a given frequency over which the raw periodogram is averaged.
coef.step	a scalar determining the resolution of frequency values (over 2m+1 of which the raw periodogram is averaged).

Value

A numerical vector of smoothed periodogram values over a range of frequencies.

References

Brillinger, D.R. (1974), Time Series: data analysis and theory. New York, NY, Holt, Rinehart, and Winston.

dpwynne/mmnst documentation built on Aug. 1, 2023, 8:08 a.m.