FIELD: acoustics.
SUBSTANCE: original acoustic signal is converted into the main digital complex information signal, over which discrete cosine transformations (DCT) are performed and spectral DCT coefficients are obtained, then from the batch of spectral DCT coefficients K regions of spectral maxima are selected, in each of in which three spectral coefficients 1, 2 and 3 with maximum amplitude values are identified, then, based on spectral coefficients 1 or 3, the first corrective complex signal is formed, by which the main digital complex signal is multiplied or divided and the main digital complex signal, changed in frequency for the first time, is obtained, the frequency of which increases or decreases by the frequency of the first corrective complex signal, after which frequency-shifted spectral DCT coefficients are obtained from the main digital complex signal changed in frequency for the first time, and then, based on 1 or 3 coefficients, a second corrective complex signal is again formed, for which multiply or divide the main digital complex signal changed in frequency for the first time and obtain a main digital complex signal changed in frequency for the second time, the frequency of which increases or decreases by the frequency of the second correcting complex signal, after which the main digital complex signal changed in frequency for the second time is obtained the second time the spectral DCT coefficients are shifted in frequency. This operation is repeated m times, and as a result, due to such a step-by-step frequency shift of the spectral coefficients, it is possible to significantly increase the accuracy of these spectral coefficients over short time periods of the information acoustic signal, bringing their values as close as possible to the true spectral values.
EFFECT: providing the possibility of increasing the accuracy of assessing the most informationally important sections of the spectrum of information acoustic signals.
2 cl, 18 dwg
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Authors
Dates
2023-11-24—Published
2023-03-10—Filed