IIR Filters for Audio Test and Measurement: Design, Implementation, and Optimization

Kite T. IIR Filters for Audio Test and Measurement: Design, Implementation, and Optimization. In: AES Convention 137. Audio Engineering Society; 2014. Paper 9184. Available from: https://aes.org/publications/elibrary-page/?id=17507

@inproceedings{Kite2014_17507,
  author = {Kite, Thomas},
  title = {{IIR Filters for Audio Test and Measurement: Design, Implementation, and Optimization}},
  booktitle = {AES Convention 137},
  note = {Paper 9184},
  year = {2014},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=17507}
}

TY  - CPAPER
TI  - IIR Filters for Audio Test and Measurement: Design, Implementation, and Optimization
AU  - Kite, Thomas
T2  - AES Convention 137
M1  - Paper 9184
PY  - 2014
DA  - 2014/10/06
UR  - https://aes.org/publications/elibrary-page/?id=17507
PB  - Audio Engineering Society
LA  - en
AB  - Audio analyzers use filters for many reasons: to define the measurement bandwidth, to isolate tones for measurement, to remove fundamental signals, and so on. In modern instruments, the majority of this filtering is done digitally, following analog-to-digital conversion if the signal is not already digital. Digital filter design is a mature field that encompasses a broad range of techniques, from classical analog filter design to advanced iterative design methods. However, the filter design considerations and techniques unique to audio analyzers do not seem to occupy much space in the published literature. This paper aims to correct this with a discussion of filter design, implementation, and optimization for modern Intel x86 architectures.
ER  -