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Exact(39)
A methodology for the automated time-domain characteristic parameter extraction of human pulse signals is presented.
Embedding data by inserting inaudible tones in cover audio signals is presented in[25, 31].
In this paper, the new approach to the process of perfect reconstruction of signals is presented.
A numerical implementation of system identification from non-linear and non-stationary signals is presented.
In the first part, a generalized sampling theorem (GST) for bandpass signals is presented.
In this manuscript, a transition indicator for non-stationary signals is presented.
Similar(21)
The audio signals are presented to the listeners repeatedly if requested.
Also, the power spectral densities of the recovered target signals are presented in Figure 7.
Audio signals were presented through studio-quality headphones at the individually preferred listening level.
The signals are presented with different amplitude scales for visualization purposes.
Multi-objective optimization formulations for synthesis of multi-harmonic signals are presented.
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