Multichannel Sound Reproduction Quality Improves with Angular Separation of Direct and Reflected Sounds - June 2015
Clean Audio for TV broadcast: An Object-Based Approach for Hearing-Impaired Viewers - April 2015
Audibility of a CD-Standard A/DA/A Loop Inserted into High-Resolution Audio Playback - September 2007
Efficient Least-Mean-Squares Algorithm Performs Audio Distortion Analysis on Sampled Waveforms
The distortion components of a sampled signal (called harmonics) are determined by fitting the waveform with Least Mean Squares (L.M.S.) techniques to a sum of sinusoidal functions. This technique allows the incorporation of distortion analysis capabilities in automated test setups, without the need for expensive distortion analyzers. The basic algorithm is presented. Relationships between data word length and the accuracy of the estimations, are derived. According to calculations and measurements, Total Harmonic Distortion (T.H.D.) figures, as low as 0.01%, can be accurately measured in waveforms, which are coupled with a 12-bit A/D converter.
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 $20 for non-members, $5 for AES members and is free for E-Library subscribers.