tf.svd: Estimate the frequency-domain transfer function
In driegert/transfer: Frequency Domain Transfer Function Estimation Tools

Description Usage Arguments Details Value

Estimates a transfer function between the columns of input x and the response y. **DEPRECIATED**

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tf.svd(x, y, blockSize = dim(x)[1], overlap = 0, deltat = 1, nw = 4,
  k = 7, nFFT = NULL, freqRange = NULL, freqOffset = NULL,
  standardize = TRUE, prewhiten = TRUE, removePeriodic = TRUE)

`x`	A `data.frame` whose columns are the time domain input series.
`y`	A single column `data.frame` containing the response series.
`blockSize`	A `numeric` indicating the block sizes into which the input and response series will be partitioned.
`overlap`	A `numeric` between 0 and 1 indicating how much overlap should exist between adjacent blocks.
`deltat`	A `numeric` indicating the sample rate.
`nw`	A `numeric` indicating the time bandwidth parameter for estimating the Slepian data tapers.
`k`	A `numeric` indicating the number of tapers to use - should be approximately floor(2nw - 1) and no larger than floor(2nw).
`nFFT`	A `numeric` indicating the number of frequency bins to use (i.e. setting the zeropadding amount).
`freqRange`	NOT CURRENTLY IMPLEMENTED.
`freqOffset`	NOT CURRENTLY IMPLEMENTED (don't chage this... ).
`standardize`	Should the inputs and outputs be standardized to have mean = 0 and standard deviation = 1?

Takes the times series inputs and response, divides these series into (optionally) overlapping blocks, tapers each block with Discrete Prolate Spheriodal Sequences (DPSS's or Slepian sequences), Fourier transforms each block, and then estimates the transfer function at each frequency between the Fourier transforms of the inputs and the response.

Different from tf in that an FFT is used and additionally, the standard errors of the coefficient estimates are provided as well as the eigenvalues from the singular value decomposition.

An object of class transfer, consisting of a complex matrix whose columns are the individual transfer function for each input, and several attributes describing the transfer function estimate.

driegert/transfer documentation built on May 15, 2019, 2:11 p.m.