System Measurement and Identification Using Pseudorandom Filtered Noise and Music Sequences

Hawksford MJ. System Measurement and Identification Using Pseudorandom Filtered Noise and Music Sequences. J Audio Eng Soc. 2005;53(4):275-296. Available from: https://aes.org/publications/elibrary-page/?id=13411

@article{Hawksford2005_13411,
  author = {Hawksford, Malcolm J.},
  title = {{System Measurement and Identification Using Pseudorandom Filtered Noise and Music Sequences}},
  journal = {Journal of the Audio Engineering Society},
  volume = {53},
  number = {4},
  pages = {275--296},
  year = {2005},
  month = apr,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=13411}
}

TY  - JOUR
TI  - System Measurement and Identification Using Pseudorandom Filtered Noise and Music Sequences
AU  - Hawksford, Malcolm J.
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 53
IS  - 4
SP  - 275
EP  - 296
PY  - 2005
DA  - 2005/04/06
UR  - https://aes.org/publications/elibrary-page/?id=13411
PB  - Audio Engineering Society
LA  - en
AB  - System measurement using pseudorandom filtered noise and music sequences is investigated. A single-pass technique is used to evaluate simultaneously the transfer function and the spectral-domain signal-to-distortion ratio that is applicable to amplifiers, signal processors, digital-to-analog converters, loudspeakers, and perceptual coders. The technique is extended to include a simplified Volterra model expressed as a power series and linear filter bank where for compliant systems, nonlinear distortion can be estimated for an arbitrary excitation without a need for remeasurement.
ER  -