M
Markus Noisternig
Researcher at University of Paris
Publications - 70
Citations - 935
Markus Noisternig is an academic researcher from University of Paris. The author has contributed to research in topics: Loudspeaker & Ambisonics. The author has an hindex of 15, co-authored 69 publications receiving 831 citations. Previous affiliations of Markus Noisternig include Pierre-and-Marie-Curie University & IRCAM.
Papers
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A 3D Ambisonic Based Binaural Sound Reproduction System
TL;DR: A computationally efficient 3D real time rendering engine for binaural sound reproduction via headphones is presented, using a virtual ambisonic approach that results in a bank of time-invariant HRTF filter.
Journal ArticleDOI
Energy-Preserving Ambisonic Decoding
TL;DR: In this paper, an improved decoding technique was proposed to preserve the decoded energy of the spherical harmonic excitation at the loudspeaker positions and match the excitation modes of a continuous sound field to those of the loudspeakers.
Proceedings ArticleDOI
3D binaural sound reproduction using a virtual ambisonic approach
TL;DR: To increase the computational efficiency of the proposed system, a virtual ambisonic approach is used, that result in a bank of time-invariant HRTF filter independent of the number of sources to encode.
Journal ArticleDOI
A comparative study of Interaural Time Delay estimation methods.
TL;DR: This work presents a thorough comparative study of the degree of variability between some of the most common methods for calculating the Interaural Time Delay from measured data.
Journal Article
Spatially Oriented Format for Acoustics: A Data Exchange Format Representing Head-Related Transfer Functions
Piotr Majdak,Yukio Iwaya,Thibaut Carpentier,Rozenn Nicol,Matthieu Parmentier,Agnieszka Roginska,Yôiti Suzuki,Kankji Watanabe,Hagen Wierstorf,Harald Ziegelwanger,Markus Noisternig +10 more
TL;DR: Spatially Oriented Format for Acoustics: A Data Exchange Format Representing Head-Related Transfer Functions is presented, representing head-related transfer functions in a data exchange format.