read.event_generate_noise: Estimates the noise in MS70 data.

In arnejohannesholmin/sonR: Library for reading, processing and converting sonar data to the TSD format

Estimates the noise in MS70 data.

Description

Estimates the noise in MS70 data.

Usage

read.event_generate_noise(
  data,
  t = 1,
  noise = c("bgns", "pdns", "nrns", "hins"),
  nsind = 0.75,
  cruise = 2009116,
  esnm = "MS70",
  dir.data = NULL,
  hins_add = 10,
  phase = TRUE,
  pdns_scale = 1e-14,
  TVG = TRUE,
  TVG.exp = 2
)

Arguments

data	is a list containing the data from which the noise should be estimated. Sould contain the following variables: "vbsc", "time", "hini", "hins", "beams", "ctd".
t	is either the indexes of the pings to be treated, as listed from 1 to the number of pings in the event, or the time point given as a string "yyyymmddHHMMSS.FFF" or "HHMMSS.FFF".
noise	is a vector of strings representing the noise components to include in the estimate.
nsind	is a vector of indexes along the beams, as input to ind.expand(), used to select the subset over which the estimation of the phase of the periodic noise is done. If given as a single numeric, the outermost 'nsind' voxels are used in each beam.
cruise	Used by get.pdns_phase.TSD to get the phase of the periodic noise.
hins_add	is the number of voxels that should be discarded on both sides of high intensity noise voxels voxels along beams, used for accounting for possible high values that are related to the high intensity noise but not classified as such voxels.
phase, esnm, dir.data	is FALSE if any of 'pn3M' (phase for each time step) or 'pns3' (phase equal for all time steps) given in 'bgns' or read from the noise file located by the funciton noise.path.event() should be used, as oposed to estimating the phase from the data for each time step. This is only recommended for simulated data where the phase is constant over all time steps, and saves some CPU time.
pdns_scale	is used in get.pdns_phase.event() to scale the noise in order to allow the optimization to work.
TVG	is FALSE if TVG compensation is to be removed from the data.
TVG.exp	is the exponent of the eamotric spreading of the sound wave, theoretically 2 for Sv and 4 for TS.

arnejohannesholmin/sonR documentation built on April 14, 2024, 11:39 p.m.