In This Section
AES Store
- Learn From The Experts:

Phil Ramone "Reverberation"- Oral History Project Gallery
- Other AES Publications
Journal Forum
Virtual Localization by Blind Persons - July 2012
1 comment
Effect of Spatial Location and Presentation Rate on the Reaction to Auditory Displays - July 2012
1 comment
Watermark-Aided Pre-Echo Reduction in Low Bit-Rate Audio Coding - June 2012
1 comment
AES E-Library
Prediction of Speaker Performance at High Amplitudes
A new method is presented for the numerical simulation of the large signal performance of drivers and loudspeaker systems. The basis is an extended loudspeaker model considering the dominant nonlinear and thermal effects. The use of a two-tone excitation allows the response of fundamental, DC-component, harmonics, and intermodulation components to be measured as a function of frequency and amplitude. After measurement of the linear and nonlinear parameters, the electrical, mechanical, and acoustical state variables may be calculated by numerical integration. The relationship between large signal parameters and non-linear transfer behavior is discussed by modeling two drivers. The good agreement between simulated and measured responses shows the basic modeling, parameter identification, and numerical predictions are valid even at large amplitudes. The method presented reduces time-consuming measurements and provided essential information for quality assessment and diagnosis. The extended loudspeaker model also allows prediction of design changes on the large signal performance by changing the model parameters to reflect the driver design changes. The incorporation of nonlinear parameters into the loudspeaker model allows for optimization in both the small and large signal domains by model prediction.
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.
Learn more about the AES E-Library
Start a discussion about this paper!






