AI Article Synopsis
- Traditional loudspeaker equalization methods struggle to determine the optimal filter order until after completing the entire process, often requiring multiple attempts.
- A new approach using balanced model truncation simplifies this challenge by allowing designers to easily choose the equalizer order and manage the error between the model and the loudspeaker.
- The text includes examples and discusses the effectiveness of the proposed method through comparative experiments.
Article Abstract
Traditional loudspeaker equalization algorithms cannot decide the order of an equalizer before the whole equalization procedure has been completed. Designers have to try many times before they determine a proper order of the equalization filter. A method which solves this drawback is presented for loudspeaker equalization using balanced model truncation. The order of the equalizer can be easily decided using this algorithm and the error between the model and the loudspeaker can also be readily controlled. Examples are presented and the performance of the proposed method is discussed with comparative experiments.
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| http://dx.doi.org/10.1121/1.4914946 | DOI Listing |
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