System Measurement and Modeling using Pseudo-random Filtered Noise and Music Sequences
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.
Click to purchase paper or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members, $5 for AES members and is free for E-Library subscribers.