SingleBinPSDIntegrationForMultipleWindows: Calculate integral for multiple PSDs for a single frequency...

In psdr: Use Time Series to Generate and Compare Power Spectral Density

Description

Calculate integral for multiple PSDs for a single frequency bin

Usage

SingleBinPSDIntegrationForMultipleWindows(
  list.of.windows,
  name.of.col.containing.time.series,
  sampling_frequency,
  single.bin.boundary
)

Arguments

list.of.windows	A list of windows (dataframes).
name.of.col.containing.time.series	A string that specifies the name of the column in the windows that correspond to the time series that should be used for making PSD.
sampling_frequency	Numeric value specifying sampling frequency in hertz. If data is sampled once every second, then sampling frequency is 1 Hz. If data is sampled once every 2 seconds, then sampling frequency is 0.5 Hz.
single.bin.boundary	A numeric vector with two elements. First element is the start frequency for the bin. Second element is the end frequency of the bin. For integration, approxfun is used, so increment does not need to be specified.

Value

A vector where each element is the integration result of each window.

Examples

#Create a vector of time that represent times where data are sampled.
Fs = 100; #sampling frequency in Hz
T = 1/Fs; #sampling period
L = 1000; #length of time vector
t = (0:(L-1))*T; #time vector

#First signal
#1. 1 Hz with amplitude of 2
S1 <- 2*sin(2*pi*1*t)
level1.vals <- rep("a", length(S1))
level2.vals <- rep("1", length(S1))
S1.data.frame <- as.data.frame(cbind(t, S1, level1.vals, level2.vals))
colnames(S1.data.frame) <- c("Time", "Signal", "level1.ID", "level2.ID")
S1.data.frame[,"Signal"] <- as.numeric(S1.data.frame[,"Signal"])

#Second signal
#1. 1 Hz with amplitude of -4
#2. 2 Hz with amplitude of -2
S2 <- (-4)*sin(2*pi*1*t) - 2*sin(2*pi*2*t);
level1.vals <- rep("a", length(S2))
level2.vals <- rep("2", length(S2))
S2.data.frame <- as.data.frame(cbind(t, S2, level1.vals, level2.vals))
colnames(S2.data.frame) <- c("Time", "Signal", "level1.ID", "level2.ID")
S2.data.frame[,"Signal"] <- as.numeric(S2.data.frame[,"Signal"])

#Third signal
#1. 1 Hz with amplitude of 2
#2. 2 Hz with amplitude of 2
S3 <- 2*sin(2*pi*1*t) + 2*sin(2*pi*2*t);
level1.vals <- rep("a", length(S3))
level2.vals <- rep("3", length(S3))
S3.data.frame <- as.data.frame(cbind(t, S3, level1.vals, level2.vals))
colnames(S3.data.frame) <- c("Time", "Signal", "level1.ID", "level2.ID")
S3.data.frame[,"Signal"] <- as.numeric(S3.data.frame[,"Signal"])

#Fourth signal
#1. 1 Hz with amplitude of -2
S4 <- -2*sin(2*pi*1*t)
level1.vals <- rep("b", length(S4))
level2.vals <- rep("3", length(S4))
S4.data.frame <- as.data.frame(cbind(t, S4, level1.vals, level2.vals))
colnames(S4.data.frame) <- c("Time", "Signal", "level1.ID", "level2.ID")
S4.data.frame[,"Signal"] <- as.numeric(S4.data.frame[,"Signal"])

windows <- list(S1.data.frame, S2.data.frame, S3.data.frame, S4.data.frame)


results <- SingleBinPSDIntegrationForMultipleWindows(windows, "Signal", Fs, c(0,2))

psdr documentation built on June 4, 2021, 9:06 a.m.