Abstract
Coding digitized audio signals includes dividing an audio signal, consisting of a continuous sequence of sample values, into successive blocks of equal length, and performing overlapping windowing. The blocks are transformed into complex Fourier coefficients by means of a discrete Fourier transform, which complex Fourier coefficients are decomposed into magnitude values and phase values. The phase values are quantized with a linear quantization characteristic which becomes coarser going from low toward high frequencies. The magnitude values are combined into frequency bands which are oriented with regard to predetermined critical bands and become wider toward high frequencies. Quantization levels for each frequency band are fixed, taking into account a lower, frequency-dependent, absolute threshold of hearing, such that a range lying below the respective threshold of hearing is disregarded, and taking into account a relative threshold of hearing, such that ranges in the neighborhood of frequencies with large magnitude values are taken into account to a reduced extent. A number of sub-bands consisting of single values of the frequency bands are fixed, and the greatest single magnitude value of each sub-band is determined. Variable quantization of each frequency band is performed by quantizing the greatest magnitude value of a sub-band with a maximum available number of bits and all other magnitude values with a smaller number of bits.
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