Master Thesis: Headroom and precision requirements of real-world multichannel audio content

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In modern audio processing technology the audio signal is converted to various different data domains for processing by using, e.g. FFT, MDCT, or Complex QMF transforms. Each domain has different properties resulting in different requirements in headroom and precision to manage distortion and noise in such systems. The aim of the work is to investigate such requirements for immersive and multichannel real-world content and to develop guidelines for headroom and data precision of processing such content. Processing can include a reduction of audio channels like rendering to a speaker configuration and downmixing.


  • Electrical Engineering, Signal Processing, Audio background
  • Filterbanks (QMF) and Transforms (Fourier, Cosine) knowledge required
  • Headroom, Precision, Quantization, and Noise are well known concepts.
  • Understanding of data analytics and statistics required.
  • Knowledge in multichannel audio mixing needed, related experience beneficial.
  • MATLAB very helpful
  • English required

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