This paper mainly researches many theoretic and technical problems of acoustic target recognition technology ,also it researches in system hardware, practicality, miniaturization as well as the real-time recognition.
本文主要针对声目标识别技术中诸多理论性和技术性问题,以及对系统的硬件化、实用化、小型化以及识别的实时性方面进行研究。
参考来源 - 基于DSP的声目标识别技术研究及实现·2,447,543篇论文数据，部分数据来源于NoteExpress
本论文的核心就是研究不同地声目标识别方法。
The core problem of this thesis is to study the different acoustic signal identification methods.
提出了一种基于灰关联分析的声目标识别算法。
A recognition method based on gray correlation analysis algorithm is proposed through extracting LPC, characteristic from tank, helicopter and car acoustic.
提出一种隐马尔可夫模型和K -均值聚类混合模型的声目标识别方法。
A recognition method based on HMM and K-means cluster is proposed through extracting LPC characteristic from acoustic target.
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