SNRMetric: Signal to Noise Ratio

In IRISMustangMetrics: Statistics and Metrics for Seismic Data

Signal to Noise Ratio

Description

The SNRMetric() function calculates the Signal-to-Noise Ratio of a seismic trace by one of several named algorithms.

Usage

SNRMetric(st, algorithm, windowSecs)

Arguments

st	a Stream object containing a seismic signal
algorithm	a named algorithm to use for calculating SNR (default="splitWindow")
windowSecs	width (seconds) of the full window used in SNR calculations (default=60)

Details

Seismic signals in the Stream must be without gaps, i.e. contained within a single Trace.

algorithm="splitWindow"

This algorithm uses the midpoint of the seismic signal as the border between noise to the left of the midpoint and signal to the right. The value for signal-to-noise is just the rmsVariance calculated for windowSecs/2 seconds of data to the right of the midpoint divided by the rmsVariance for windowSecs/2 seconds of data to the left of the midpoint.

No other algorithms have been vetted at this point.

Value

A list with a single SingleValueMetric object is returned.

Author(s)

Jonathan Callahan [e-mail]

Examples

 ## Not run: 
# Open a connection to IRIS DMC webservices
iris <- new("IrisClient")

# Get an hour long waveform centered on a big quake
starttime <- as.POSIXct("2010-02-27 06:16:15",tz="GMT")
endtime <- as.POSIXct("2010-02-27 07:16:15",tz="GMT")
st <- getDataselect(iris,"IU","ANMO","00","BHZ",starttime,endtime)
tr <- st@traces[[1]]

# Calculate the SNR metric and show the results
metricList <- SNRMetric(st)
dummy <- lapply(metricList, show)
  
## End(Not run)

IRISMustangMetrics documentation built on Aug. 22, 2023, 9:11 a.m.