Aiming at the slow target signal testing under complex noise ervironment, data acquisition system plays a key role to informationprocessing. An embedded system based on Sunplus SPCE061A 16 b single chip is designed and discussed.
数据采集是信息处理的重要环节,针对具有慢变特性的目标信号在复杂噪声环境下的检测设计了一个基于凌阳16位单片机SPCE061A的嵌入式数据采集系统。
参考来源 - 基于凌阳单片机的嵌入式数据采集系统的设计与实现·2,447,543篇论文数据，部分数据来源于NoteExpress
实验表明，本方法可从复杂噪声中提取诊断信号，实现故障分支识别和接地点测距。
Results show that the method can not only gain the diagnosis signal value from mixed noise but also realize fault-branch identification and fault location.
对于运动背景，论文主要研究复杂噪声干扰下的微小目标检测，提出了两种自适应复杂噪声滤波技术。
To the moving background, this dissertation addressed the detection of the image target in the complex noisy, and proposed two adaptive filtering technologies.
提出了将复杂噪声源层次识别法应用到滚动转子压缩机噪声源识别中去进行精确噪声源识别，拓展了滚动转子压缩机噪声源识别辨识方法。
Starting with experiments, the dissertation researches theory of noise resource identification and uses the methods of spectrum and cepstrum analysis to identify the noise resource.
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