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Gabor transform introduces the time dependency element into Fourier analysis by multiplying it with a Gaussian function [i.e., window function w(x) becomes Gaussian] [12].
This representation, based on a classical Fourier Transform, introduces a time localization concept by using a tapering window function of short duration going along the signal, and adding a time dimension.
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The time shift window in the S-transform introduces a phase term in the frequency representation which is described as follows by the time shift properties of the Fourier transform F T τ → f g ( τ - t ) ⇒ exp - j 2 π f t G ( f ) = exp - j ϕ G ( f ) (D.2).
However, transforming the dependent variable introduces retransformation problems related to the original scale[ 6- 8].
Nations must transform themselves.
It does transform lives.
You can transform yourselves.
These will transform India.
They creatively transform language.
Can Facebook transform that?
Transformed people transform people.
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