Tensorflow.js is an open-source library developed by Google for running machine learning models and deep learning neural networks in the browser or node environment.
The tf.spectral.irfft() function is used for IRFFT(Inversed real value input Fast Fourier transform) i.e. it computes the 1-dimensional IDFT(Inversed discrete Fourier transform) over the inner-most dimension of the real input value.
Syntax:
tf.spectral.irfft(input)
Parameters:
- input: The complex input on which an irfft is being performed.
Return Value: It returns the result for the computation of the 1-dimensional IDFT(Inversed discrete Fourier transform) over the inner-most dimension of the real input value.
Example 1:
Javascript
// Importing the tensorflow.js library import * as tf from "@tensorflow/tfjs" // Initializing a real and imaginary 1D input values const real = tf.tensor1d([1, 5]); const imag = tf.tensor1d([2, 4]); const x = tf.complex(real, imag); // Calling the .spectral.irfft() function // over the parameter input real value x tf.spectral.irfft(x).print(); |
Output:
Tensor
[[3, -2],]
Example 2:
Javascript
// Importing the tensorflow library import * as tf from "@tensorflow/tfjs" // Using a real and imaginary 1D input values as the // parameter for the .complex() function const x = tf.complex(tf.tensor1d([1, 2, 3, 4]), tf.tensor1d([2, 4, 6, 8])); // Calling the .spectral.irfft() function // over the input parameter value x tf.spectral.irfft(x).print(); |
Output:
Tensor
[[2.5, -3.5534179, 0.5773503, -0.1666667, -0.5773499, 2.2200849],]
Reference: https://js.tensorflow.org/api/latest/#spectral.irfft
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