摘要
采用TMS320F2812数字信号处理器作为系统核心处理器件,辅以必要的外围电路实现声信号的采集、处理、特征提取及目标识别。根据典型目标声信号的特性,运用小波变换理论对其进行阈值滤波处理;利用小波分析能够反映信号时域和频域局部特性的优点,采用小波变换实现子空间能量特征提取;实现了声信号的快速处理与识别。将此系统应用于典型的车辆目标进行识别,取得了满意的识别效果。
A system for acoustic signal acquisition, processing, feature extraction and target recognition is designed by taking DSP chip TMS320F2812 as the kernel processing device and adopting some necessary peripheral equipment. According to the typical acoustic signal feature of the target, theory of wavelet transform is used in threshold denoising. Wavelet analysis can reflect signal feature including both the local characteristics of time and frequency domain. Thus we used wavelet transform for feature extraction of subspace power, and realized rapid processing and recognition of acoustic signal. We applied the system in recognition of typical ground vehicles, and obtained a satisfactory result.
出处
《电光与控制》
北大核心
2008年第5期59-62,共4页
Electronics Optics & Control
基金
国家自然科学基金(50535030)
关键词
目标识别
声探测技术
数字信号处理器
小波变换
特征提取
target recognition
acoustic detection
digital signal processor
wavelet transform
feature extraction
