Exact(4)
Distributions are two dimensional energy representations with high TF resolution.
TF distribution (TFD) indicates a two-dimensional energy representations of a signal in terms of time-and frequency-domains.
We obtain as corollaries short proofs of Goodman and Wallach's results on the integration of positive energy representations of loop groups and Diff(S1) and of Nelson's criterion for the exponentiation of unitary representations of finite-dimensional Lie algebras.
In the case of the wavelet transform, where we have a progressive time-frequency resolution the estimate won't be the same for the whole bandwidth of the signal, which means a non uniform time-frequency tiling on the analyzed signal and thus results in biased energy representations and corresponding phase estimates.
Similar(56)
Thus, the directional information is preserved in this energy representation.
These results appear as extensions of the corresponding ones related to the classical energy representation and its previously introduced generalizations.
and the corresponding equation for the Green's function in the energy representation, The last equation reads in (x,y) representation and with the convention (10).
This energy representation is able to describe the experimental results concerning the α- and β-relaxations under high stress, and also various other previous experimental observations.
Let Fp[kf, n] be the energy representation of the "Outer ear weighted FFT outputs" and Pe[k, n] is the Bark representation of Fp[kf, n] = |Fe[kf, n]|2.
In this paper, we propose one such transform-based compression technique, where the joint time-frequency (TF) properties of the nonstationary nature of the audio signals were exploited in creating a compact energy representation of the signal in fewer coefficients.
This paper proposes the use of the BG approach to recognize the energy representation of the microgrid in port-Hamiltonian form by looking at the energy transformation aspects of microgrid components.
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