In This Section
Audibility of a CD-Standard A/DA/A Loop Inserted into High-Resolution Audio Playback - September 2007
Sound Board: Food for Thought, Aesthetics in Orchestra Recording - April 2015
Reflecting on Reflections - June 2014
AES Conference Papers Forum
Adaptive Identification of Nonlinear Models Using Orthogonal Nonlinear Functions
System identification plays an important role in the field of digital audio systems. While the linear con- volution operation is suitable for linear systems, nonlinear models have to be introduced for modeling the majority of real-world devices. In this paper, a novel approach for the estimation of nonlinear system mod- els is proposed based on the introduction of suitable orthogonal nonlinear functions and frequency-domain adaptive filtering algorithm. Experimental results confirm the effectiveness of the approach, making also comparisons with an analogous approach based on a polynomial structure.
No AES members have commented on this paper yet.
Subscribe to this discussion
Start a discussion!
If you are not yet an AES member and have something important to say about this paper then we urge you to join the AES today and make your voice heard. You can join online today by clicking here.