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System Measurement and Modeling using Pseudo-random Filtered Noise and Music Sequences

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System measurement employing pseudo-random filtered noise and music sequences is investigated. An efficient single-pass technique is used to evaluate simultaneously transfer function and spectral domain signal-to-distortion ratio that is applicable to amplifiers, signal processors, digital-to-analogue converters, perceptual coder performance and loudspeakers. The technique is extended to determine a power-series model from which non-linear distortion can be estimated for an arbitrary excitation with out need of re-measurement.

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