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Method for spatial resolution enhancement of ambisonic audio based on sparse MDCT representation

https://doi.org/10.37661/1816-0301-2026-23-1-58-68

Abstract

Objectives. The problem of developing a method for spatial resolution enhancement of ambisonic audio which improves the efficiency of existing approaches to digital spatial sound representation is being solved.

Methods. The proposed approach is based on time-frequency decomposition of the audio signal with subsequent extraction of a directional plane wave from each frequency component. The approach develops the core ideas of high-resolution plane wave expansion (HARPEX) and directional audio coding (DirAC) methods, utilizing the advantages of real-valued sparse decomposition.

Results. Application of the proposed ambisonic spatial resolution enhancement method involves the use of real-valued frequency components, which, unlike complex ones, provide a simpler and more robust estimation of sound arrival direction. Sparse decomposition enables an accurate and unified approach to describing sounds of various nature – from transient to tonal.

Conclusion. Practical results confirm the method's applicability for audio processing with resolution enhancement up to seventh-order ambisonics. The disadvantage of the method is its high computational complexity; however, it is suitable for applications that do not require real-time processing.

About the Authors

Denis S. Likhachov
Belarusian State University of Informatics and Radioelectronics
Belarus

Denis S. Likhachov, Cand. Sci. (Eng.), Assoc. Prof. of Computer Engineering Department

st. P. Brovki, 6, Minsk, 220013



Nick A. Petrovsky
Belarusian State University of Informatics and Radioelectronics
Belarus

Nick A. Petrovsky, Cand. Sci. (Eng.), Assoc. Prof. of Computer Engineering Department

st. P. Brovki, 6, Minsk, 220013



Elias S. Azarov
Belarusian State University of Informatics and Radioelectronics
Belarus

Elias S. Azarov, Dr. Sci. (Eng.), Prof., Head of Computer Engineering Department

st. P. Brovki, 6, Minsk, 220013



References

1. Pulkki V. Spatial sound reproduction with directional audio coding. Journal of the Audio Engineering Society, 2007, vol. 55, no. 6, pp. 503–516.

2. Berge S., Barrett N. High angular resolution planewave expansion. Proceedings of the 2nd International Symposium on Ambisonics and Spherical Acoustics, Paris, France, 6–7 May 2010. Available at: https://www.harpex.net/harpex.pdf (accessed 20.11.2025).

3. Herzog A., Habets E. A. P. Direction and reverberation preserving noise reduction of ambisonics signals. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2020, vol. 28, pp. 2461–2475. https://doi.org/10.1109/TASLP.2020.3013979.

4. Rafaely B. Fundamentals of Spherical Array Process. Springer, 2015, 204 р. (Springer Topics in Signal Processing).

5. Schwartz O., Gannot S., Habets E. Multi-microphone speech dereverberation and noise reduction using relative early transfer functions. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2015, vol. 23, no. 2, pp. 240–251.

6. Meyer J., Elko G. W. Spherical microphone arrays for 3D sound recordings. Audio Signal Processing for Next-Generation Multimedia Communication Systems. In Y. Huang, J. Benesty (eds). Norwell, MA, USA, Kluwer Academic, 2004, pp. 67–89.

7. McCormack L., Politis A. SPARTA & COMPASS: Real-time implementations of linear and parametric spatial audio reproduction and processing methods. 2019 AES International Conference on Immersive and Interactive Audio, York, UK, 27–29 March 2019. Available at: https://acris.aalto.fi/ws/portalfiles/portal/34325781/ELEC_McCormick_Sparta_AES.pdf (accessed 20.11.2025).


Review

For citations:


Likhachov D.S., Petrovsky N.A., Azarov E.S. Method for spatial resolution enhancement of ambisonic audio based on sparse MDCT representation. Informatics. 2026;23(1):58-68. (In Russ.) https://doi.org/10.37661/1816-0301-2026-23-1-58-68

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ISSN 1816-0301 (Print)
ISSN 2617-6963 (Online)