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作 者:张妍[1] ZHANG Yan(College of Electronics and Information Northwestern Polytechnical University,Xi’an Shanxi 710072,China)
机构地区:[1]西北工业大学电子信息学院,陕西西安710072
出 处:《计算机仿真》2020年第2期471-475,共5页Computer Simulation
摘 要:针对传统高频信号噪声抑制方法存在效果差、信号完整度低的问题,提出新的数字电路远程网络中高频信号噪声抑制方法。根据独立分量分析,利用源信号与噪声信号分离的原理,实现噪声抑制,主要分为信号采集、去均值化、白化处理以及提取独立分量等步骤。最后在实例中被运用和验证。结果表明:独立分量分析噪声抑制方法应用下,数字电路远程网络中高频信号信噪比和完整性得到提高,远远高于传统噪声抑制方法应用效果,达到了研究预期目标。Due to poor effect and low signal integrity of traditional methods,this article puts forward a new method of suppressing high-frequent signal noise in remote network of digital circuit.According to the independent component analysis,the noise suppression was achieved based on the principle of separating source signal and noise signal.The noise suppression was mainly divided into the steps of signal collection,mean value removal,whitening process and extraction of independent components.Finally,it was adopted and verified in examples.The results show that the signal-to-noise ratio(SNR)and integrity of high frequent signals in remote network of digital circuits are improved by the method of independent component analysis noise suppression.The application effect is far higher than that of traditional noise suppression methods.
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