Rogozinsky G.G., Fadeyev D.R., Fadeyev A.A., Smirnov A.V., Ivanova Yu.I. «The method of psychoacoustic model adaptation to wavelet domain based on quantization matrix» T-Comm: Телекоммуникации и транспорт, 13, № 4, с. 64-69 (2019)

The paper presents the authors' recent research in adaptation of the psychoacoustic model of ISO MPEG AAC to the Discrete Wavelet Packet algorithm of lossy audio coding. Wavelet Transform-based digital audio compression possesses several advances in the context of compact representation of transients and non-harmonic components. Meanwhile, one of the well-known issues of application of wavelets for the audio compression is poor accuracy of existing psychoacoustic models obtained for wavelet domain. The authors discovered the complex distribution of wavelet coefficients quantization noise across the spectrum due to significant cross-band aliasing between wavelet decomposition tree subbands. The authors also obtained the wavelet quantization noise function related to the analysis bands of MPEG AAC Psychoacoustic Model. The described approach provided the method of quantization matrix calculation, which is useful for exact estimation of masking threshold during lossy wavelet coefficients coding. The obtained results allow increasing the accuracy of existing compression models based on wavelet transform, therefore gaining the efficiency of digital audio compression with reviewed transforms. Ключевые слова: цифровая компрессия звука с потерями, вейвлеты, квантование, психоакустическая модель.