new_swdft_matching_demod: Constructor function for class 'swdft_matching_demod'
In swdft: Sliding Window Discrete Fourier Transform (SWDFT)

Constructor function for class 'swdft_matching_demod'

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new_swdft_matching_demod(x, n, fitted, thresh, max_cycles, smooth, order,
  passfreqs, maxvals, freqs, khats, amps, phases, demods, cycle, resids,
  fits, return_rows)

`x`	numeric. Signal to demodulate
`n`	integer. Window size for SWDFT
`fitted`	fitted values
`thresh`	numeric. Threshold to determine whether to continue demodulating
`max_cycles`	maximum number of demodulation cycles
`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
`passfreqs`	pass frequency used in each iteration
`maxvals`	Maximum SWDFT coefficient for each iteration
`freqs`	Frequencies used in each iteration
`khats`	Integer version of frequency.
`amps`	Instantaneous amplitude for each iteration
`phases`	Instantaneous phase for each iteration
`demods`	List of demodulated signal and smoothed demodulated signal for each iteration
`cycle`	Number of cycles used
`resids`	Residuals for each iteration
`fits`	Fitted values for each iteration
`return_rows`	Logical vector indicating which iterations occurred. Used for subsetting.

list with the following elements

coefficients. coefficients from the R local signals with time-varying amplitude and phase model.
fitted. fitted values of cosine regression model
residuals. residuals of cosine regression model
data. original signal used to fit cosine regression
smooth. list with the filter used ('smooth') and parameters ('order' for 'ma' or 'double_ma', 'passfreq' for butterworth)
demod. list w/ the demodulated signal, and smoothed demodulated signal
thresh. Threshold used.
iterations. List of fits, residuals, and maximum values for each iteration