| 心理声学参数提取及其在目标识别中的应用 |
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| 引用本文： | 王娜,陈克安.心理声学参数提取及其在目标识别中的应用[J].计算机仿真,2008,25(11). |
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| 作者姓名： | 王娜 陈克安 |
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| 作者单位： | 西北工业大学航海学院环境工程系,陕西西安,710072 |
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| 摘 要： | 根据人耳听觉特性,研究了心理声学中人耳识别目标的重要特征参数在目标识别中的应用.针对无线电噪声和舰船辐射噪声,利用Zwicker理论提取心理声学参数中的特性响度和特性尖锐度作为识别特征,通过神经网络分类器分别对这两组噪声各三类进行分类识别研究.实验表明特性响度和特性尖锐度主要反映了目标的振幅特性,可以正确识别目标并具有较高的识别率.是有效的识别特征.由于特性响度和特性尖锐度反映目标的特性相同,利用遗传算法仅对特性响度特征进行优化选择.挑选出特性响度中的分类关键量,降低识别空间的维数,提高识别率.
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| 关 键 词： | 心理声学 特性响度 目标识别 |
Psychoacoustic Parameters Extraction and Its Application in Target Recognition |
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| WANG Na,CHEN Ke-an.Psychoacoustic Parameters Extraction and Its Application in Target Recognition[J].Computer Simulation,2008,25(11). |
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| Authors: | WANG Na CHEN Ke-an |
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| Affiliation: | WANG Na,CHEN Ke-an(Department of Environmental Engineering,College of Marine,Northwestern Polytechnical University,Xi'an Shanxi 710072,China) |
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| Abstract: | According to the characteristics of auditory system,application of the auditory psychoacoustic parameters in target recognition is investigated.Firstly,specific loudness and specific sharpness as recognition features are calculated based on Zwicker's theory.Secondly,the psychoacoustic parameters are used to classify the acoustic targets by using three-layer back-propagation neural network classifier.The simulations show that specific loudness and specific sharpness are effective features which reflect the a... |
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| Keywords: | Psychoacoustic Specific loudness Target recognition |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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