Synchronized Swept-Sine: Theory, Application, and Implementation - October 2015
Effect of Microphone Number and Positioning on the Average of Frequency Responses in Cinema Calibration - October 2015
The Measurement and Calibration of Sound Reproducing Systems - July 2015
Data Reduction Techniques for High-Quality Digitized Audio
Two techniques for reducing the amount of data in high-quality digital audio were examined: minimum-length (Huffman) coding and differential floating-point coding. It was found that although minimum-length coding produces no distortion, it cannot uniformly reduce all different kinds of audio. On the other hand, differential coding uniformly reduces all kinds of sounds but can cause audible distortion on some signals.
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.