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First we transform signal to time-frequency domain using spectrogram.
The standard deviation and fast Fourier transform signal processing technique are also employed in the investigation of bed quality.
are used to transform signal vectors from and to the DFT domain as well as for discrete-time truncation and zero-padding operations.
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Octave-tree discrete wavelet transform (DWT) is used to transform signals to sparse domain in this article.
Furthermore, a psychoacoustic model analyzes the incoming signal as well and determines the number of bits for quantization of each of the subband or transform signals.
Then, the appropriate inverse transformation is applied to the transformed signal to reconstruct the original signal in its original domain with an acceptable reconstruction error.
The transformed signal F is the result.
The desired control profile is then compared with the leanable part of the transformed signal.
This is achieved by amplitude tracking specific spectral components in the transformed signal.
Then the transformed signal is used as the parameter of Liu system.
The performance is analyzed by computing energy content and standard deviation of the transformed signal.
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