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2 2024

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Azimuth and elevation errors in binaural reproduction of ambisonics sound

Pietrzak Agnieszka Paula

Vibrations in Physical Systems

2024

Vol. 35, nr 2

art. no. 2024203

Binaural decoding of an ambisonic sound is reproducing the information about a soundfield over headphones. It is done based on the spherical harmonics representation of the spatial sound and on the use of Head Related Transfer Function (HRTF). Inaccuracies in the decoding process, which can be caused for example by using non-personalized HRTF, may lead to difficulties in localizing the sound source by the listener. Especially in the elevation plane, localization errors can be significant. In this study, listening tests were conducted for naive listeners in order compare azimuth and elevation errors for first and third-order ambisonics recordings of pink noise bursts recorded in anechoic chamber. The tests involved 16 participants who used headphones to listen to ambisonic sound recordings, specifically bursts of pink noise, captured using Sennheiser Ambeo (1st order) and Zylia (3rd order) microphones. These recordings were then converted to B-format and decoded into binaural format for the listening tests. In the azimuth plane, the highest errors occurred at 0°, indicative of front-back confusions. In contrast, the elevation plane exhibited generally larger errors, with third-order ambisonics resulting in notably higher errors compared to first-order.

A Comparative Study of PSO, GWO, and HOA Algorithms for Maximum Power Point Tracking in Partially Shaded Photovoltaic Systems

Bettahar Fares, Abdeddaim Sabrina, Betka Achour, Omar Charrouf

Power Electronics and Drives

2024

Vol. 9 (44)

86--105

Solar energy harnessed through photovoltaic technology plays a crucial role in generating electrical energy. Maximising the power output of solar modules requires optimal solar radiation. However, challenges arise due to obstacles such as stationary objects, buildings, and sand-laden winds, resulting in multiple points of maximum power on the P–V curve. This problem requires the use of maximum power point tracking algorithms, especially in unstable climatic conditions and partial shading scenarios. In this study, we propose a comparative analysis of three MPPT methods: particle swarm optimisation (PSO), grey wolf optimisation (GWO) and Horse Herd Optimization Algorithm (HOA) under dynamic partial shading conditions. We evaluate the accuracy of these methods using Matlab/Simulink simulations. The results show that all three methods solve partial shading problems effectively and with high precision. Furthermore, the Horse Herd Optimization approach has superior tracking accuracy and faster convergence compared with the other proposed methods.