Skip to contents

Smooth Self-Spectra for First Order Region (FOR)

Source: R/SeaSondeRCS_FOR.R
seasonder_SmoothFORSS.Rd

This function applies a smoothing operation to the self-spectra (SS) matrix of antenna 3 in a SeaSondeR cross-spectral object, specifically for First Order Region (FOR) processing. The smoothed self-spectra are stored as an attribute within the object.

Usage

seasonder_SmoothFORSS(seasonder_cs_object)

Arguments

seasonder_cs_object

A SeaSondeRCS object containing self-spectra data.

Value

The input SeaSondeRCS object with the smoothed self-spectra stored as an attribute.

Details

The function retrieves the default Doppler smoothing factor (nsm) from seasonder_getFOR_parameters and applies the smoothing operation using seasonder_SmoothSS on the self-spectra of antenna 3.

Steps:

  1. Retrieve the Doppler smoothing factor (nsm).

  2. Apply the sliding mean smoothing to the self-spectra of antenna 3.

  3. Store the smoothed matrix as an attribute within the SeaSondeRCS object.

The smoothing process helps stabilize the estimation of nulls between first- and second-order regions, preventing over-smoothing that could distort boundaries or under-smoothing that could introduce jagged edges.

See also