CAJ | 학술논문

为满足智能化交通的需要，利用车辆声频信号特征进行车型自动识别，对车辆声频信号进行建模，以线性预测编码倒谱(LPCC)为特征，采用聚类分析算法划分车型，并使用Fisher判别法对车型进行识别。实验结果表明此方法可准确和有效的实现车型的自动分类与识别。
위만족지능화교통적수요，이용차량성빈신호특정진행차형자동식별，대차량성빈신호진행건모，이선성예측편마도보(LPCC)위특정，채용취류분석산법화분차형，병사용Fisher판별법대차형진행식별。실험결과표명차방법가준학화유효적실현차형적자동분류여식별。
In order to meet the intelligent transportation requirements , vehicle acoustic feature was used to achieve the automat-ic vehicle classification and recognition. The vehicle acoustic signal is modeled and the linear predictive coding cepstrum is in-volved as a feature parameter. The study introduce cluster analysis and discriminant analysis to achieve the automatic vehicle classi-fication and recognition. Data test proves that the method achieve the accurate and effective automatic vehicle classification and recognition.