@InProceedings{6952302,
  author = {D. Marelli and R. Baumgartner and P. Majdak},
  booktitle = {2014 22nd European Signal Processing Conference (EUSIPCO)},
  title = {Efficient representation of head-related transfer functions in subbands},
  year = {2014},
  pages = {915-919},
  abstract = {Head-related transfer functions (HRTFs) describe the acoustic filtering of incoming sounds by the human morphology. We propose three algorithms for representing HRTFs in subbands, i.e., as an analysis filterbank (FB) followed by a transfer matrix and a synthesis FB. These algorithms can be combined to achieve different design objectives. In the first algorithm, the choice of FBs is fixed, and a sparse approximation procedure minimizes the complexity of the transfer matrix associated to each HRTF. The other two algorithms jointly optimize the FBs and transfer matrices. The first variant aims at minimizing the complexity of the transfer matrices, while the second one does it for the FBs. Numerical experiments show that the proposed methods offer significant computational savings when compared with other available approaches.},
  keywords = {acoustic filters;acoustic signal processing;approximation theory;channel bank filters;filtering theory;signal representation;signal synthesis;sparse matrices;transfer function matrices;head-related transfer function representation;HRTFs;acoustic filtering;human morphology;filter bank analysis;FB synthesis;transfer matrix;sparse approximation procedure;subbands;Algorithm design and analysis;Indexes;Complexity theory;Approximation methods;Signal processing algorithms;Approximation algorithms;Transfer functions;Head-related transfer functions;subband signal processing;sparse approximation},
  issn = {2076-1465},
  month = {Sep.},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569922973.pdf},
}

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These algorithms can be combined to achieve different design objectives. In the first algorithm, the choice of FBs is fixed, and a sparse approximation procedure minimizes the complexity of the transfer matrix associated to each HRTF. The other two algorithms jointly optimize the FBs and transfer matrices. The first variant aims at minimizing the complexity of the transfer matrices, while the second one does it for the FBs. 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Majdak},\n booktitle = {2014 22nd European Signal Processing Conference (EUSIPCO)},\n title = {Efficient representation of head-related transfer functions in subbands},\n year = {2014},\n pages = {915-919},\n abstract = {Head-related transfer functions (HRTFs) describe the acoustic filtering of incoming sounds by the human morphology. We propose three algorithms for representing HRTFs in subbands, i.e., as an analysis filterbank (FB) followed by a transfer matrix and a synthesis FB. These algorithms can be combined to achieve different design objectives. In the first algorithm, the choice of FBs is fixed, and a sparse approximation procedure minimizes the complexity of the transfer matrix associated to each HRTF. The other two algorithms jointly optimize the FBs and transfer matrices. The first variant aims at minimizing the complexity of the transfer matrices, while the second one does it for the FBs. 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