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4) Achieving the 'steady-state' spectrum of audio signals . Achieving the 'steady-state' spectrum of audio signals.
Figure 1 Example of phase trajectory for LF fine spectrum of audio signal.
Figure 2 Example of phase trajectory for HF fine spectrum of audio signal.
The spectral envelope was removed to obtain the fine spectrum of audio signals, and the phase space was reconstructed.
In the proposed method, the 'steady-state' spectrum of audio signals is first obtained by using MCRA for describing the spectrum components which are slowly evolved over time.
Then, the resulting 'steady-state' spectrum is further used to remove the transients from the original spectrum of audio signals by the spectral weighting method.
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To some degree, artificially making the reconstructed spectra of audio signals temporally smooth is beneficial for the subjective quality and even can compensate some perceptual distortion caused by the error of the reconstructed spectra.
Because of narrow track width, optical stereo sound tracks require a system of noise reduction such as Dolby Type A. The Dolby system works by responding to changing amplitudes in various regions of the frequency spectrum of an audio signal.
The fine spectrum of WB audio is obtained through the spectral envelope normalization.
This method randomly spreads the bits of the secret data message across the frequency spectrum of the audio signal.
The spectrum of the audio signals is divided into frequency bands, and LP analysis is applied in each band separately (subband signals are downsampled).
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