new_swdft_demod: Constructor function for class 'swdft_demod'

In swdft: Sliding Window Discrete Fourier Transform (SWDFT)

Description

Constructor function for class 'swdft_demod'

Usage

new_swdft_demod(x, f0, A_t, Phi_t, fitted, y, y_smooth, smooth, order,
  passfreq)

Arguments

x	numeric vector
f0	numeric scalar. Frequency to demodulate
A_t	extracted amplitude from y_smooth
Phi_t	extracted phase from y_smooth
fitted	fitted values
y	non-smoothed demodulated signal
y_smooth	smoothed demodulated signal
smooth	character. Type of smoothing to use, accepts either 'ma', 'double_ma', or 'butterworth' (the default)
order	moving average parameter if 'smooth' argument equals 'ma' or 'double_ma'. Defaults to 5
passfreq	numeric frequency used as the passfreq in the low-pass filter

Value

list with the following elements

• coefficients. A matrix of parameters, the three columns are: 1. amplitude 2. phase, and 3. frequency. There is only more that one row used when multiple frequencies are fit sequentially.

• fitted. fitted values of cosine regression model

• residuals. residuals of cosine regression model

• data. original signal used to fit cosine regression

• list with the filter used ('smooth') and parameters ('order' for 'ma' or 'double_ma', 'passfreq' for butterworth)

• list w/ the demodulated signal, and smoothed demodulated signal

swdft documentation built on May 2, 2019, 2:27 a.m.