calc_spec_snr: Calculate the spectral SNR.
In neuroconductor/spant: MR Spectroscopy Analysis Tools

Description Usage Arguments Details Value

SNR is defined as the maximum signal value divided by the standard deviation of the noise.

calc_spec_snr(
  mrs_data,
  sig_region = c(4, 0.5),
  noise_region = c(-0.5, -2.5),
  p_order = 2,
  interp_f = 4,
  full_output = FALSE
)

`mrs_data`	an object of class `mrs_data`.
`sig_region`	a ppm region to define where the maximum signal value should be estimated.
`noise_region`	a ppm region to defined where the noise level should be estimated.
`p_order`	polynomial order to fit to the noise region before estimating the standard deviation.
`interp_f`	interpolation factor to improve detection of the highest signal value.
`full_output`	output signal, noise and SNR values separately.

The mean noise value is subtracted from the maximum signal value to reduce DC offset bias. A polynomial detrending fit (second order by default) is applied to the noise region before the noise standard deviation is estimated.

an array of SNR values.

neuroconductor/spant documentation built on May 25, 2021, 1:49 a.m.