System Measurement and Identification Using Pseudorandom Filtered Noise and Music Sequences
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.
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