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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.
Author (s): Hawksford, Malcolm J.
Affiliation:
University of Essex, Colchester, UK
(See document for exact affiliation information.)
Publication Date:
2005-04-06
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Permalink: https://aes2.org/publications/elibrary-page/?id=13411
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Hawksford, Malcolm J.; 2005; System Measurement and Identification Using Pseudorandom Filtered Noise and Music Sequences [PDF]; University of Essex, Colchester, UK; Paper ; Available from: https://aes2.org/publications/elibrary-page/?id=13411
Hawksford, Malcolm J.; System Measurement and Identification Using Pseudorandom Filtered Noise and Music Sequences [PDF]; University of Essex, Colchester, UK; Paper ; 2005 Available: https://aes2.org/publications/elibrary-page/?id=13411