R: Short-Time Fourier Transform along the last axis of the...

op_stft {keras3}

R Documentation

Short-Time Fourier Transform along the last axis of the input.

Description

The STFT computes the Fourier transform of short overlapping windows of the input. This giving frequency components of the signal as they change over time.

Usage

op_stft(
  x,
  sequence_length,
  sequence_stride,
  fft_length,
  window = "hann",
  center = TRUE
)

Arguments

`x`	Input tensor.
`sequence_length`	An integer representing the sequence length.
`sequence_stride`	An integer representing the sequence hop size.
`fft_length`	An integer representing the size of the FFT to apply. If not specified, uses the smallest power of 2 enclosing `sequence_length`.
`window`	A string, a tensor of the window or `NULL`. If `window` is a string, available values are `"hann"` and `"hamming"`. If `window` is a tensor, it will be used directly as the window and its length must be `sequence_length`. If `window` is `NULL`, no windowing is used. Defaults to `"hann"`.
`center`	Whether to pad `x` on both sides so that the t-th sequence is centered at time `t * sequence_stride`. Otherwise, the t-th sequence begins at time `t * sequence_stride`. Defaults to `TRUE`.

Value

A list containing two tensors - the real and imaginary parts of the STFT output.

Examples

x <- op_array(c(0, 1, 2, 3, 4))
op_stft(x, 3, 2, 3)

## [[1]]
## tf.Tensor(
## [[ 0.  0.]
##  [ 2. -1.]
##  [ 4. -2.]], shape=(3, 2), dtype=float32)
##
## [[2]]
## tf.Tensor(
## [[ 0.         0.       ]
##  [ 0.        -1.7320508]
##  [ 0.        -3.4641016]], shape=(3, 2), dtype=float32)

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op_extract_sequences()
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op_fft()
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op_not_equal()
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op_tanh()
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op_triu()
op_unstack()
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