Transform and subband coding of audio signals

TNT members involved in this project:
Prof. Dr.-Ing. Jörn Ostermann
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Most of the current audio codecs decompose the input signal into spectral components. These spectral components can then be coded more efficiently than the full bandwidth input signal. The quantization is controlled by a psychoacoustic model so that the audibility of the resulting distortions is kept minimal. Subsequent entropy coding aims at a minimization of the resulting bit rate.

The individual components are to be optimized in order to increase the coding efficiency of the overall system.

Focus is given on the following topics:

  • Optimization of filter banks and transforms
  • Psychoacoustic models
  • Quantization and coding

Show all publications
  • Stephan Preihs, Christoph Wacker, Jörn Ostermann
    Adaptive Pre- and Post-Filtering for a Subband ADPCM-based Low Delay Audio Codec
    2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), New Paltz, October 2015
  • Stephan Preihs, Jörn Ostermann
    Using Cascaded Global Optimization for Filter Bank Design in Low Delay Audio Coding
    139th AES Convention [peer-reviewed], New York, October 2015
  • Stephan Preihs, Jörn Ostermann
    Globally Optimized Dynamic Bit-Allocation Strategy for Subband ADPCM-Based Low Delay Audio Coding
    40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, April 2015