Audio systems are widely utilised in our modern lives, and numerous indices may be used to evaluate sound quality, with dynamic range (DR) being a key statistic for audio systems. The lack of a precise definition for the DR, on the other hand, produces ambiguity in performance evaluation. Existing DR measurement techniques may not always match actual application settings, and some unique distortion behaviour of the device under test (DUT) is not retrieved. This study introduces and validates the audio distortion dynamic range (ADDR) as a new metric for assessing the DR performance of audio systems. It combines the signal-to-noise ratio (SNR) and signal-to-noise-and-distortion ratio (SINAD) indices in the same measurement situation and avoids measurement uncertainty with a simple description. Furthermore, standard index definitions based on distorted component categorization are replaced in the ADDR definition by variable thresholds to adequately capture the influence of harmonics, spurious, and noise components on the DUT. The technical procedures of ADDR are then examined, as well as the critical factors that determine its accuracy, before providing the best measurement settings. Experiments with simulated DUTs show that the ADDR index can discover performance disparities that standard indexes can't, suggesting that it's a useful addition to current indexes in some real-world applications.
Author(s) Details:
Yangjie Wei,
College of Computer Science and Engineering, Northeastern University Wenhua Str. 3, Shenyang, China.
Please see the link here: https://stm.bookpi.org/RDST-V3/article/view/6627
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