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作 者:李兴梅[1] 龚晓峰[1] 王旭[1] 张利丹[1]
出 处:《现代电子技术》2009年第1期61-64,共4页Modern Electronics Technique
摘 要:在无线监测系统中,由于受环境、设备等因素的影响,接收机接收到的无线电信号不同程度地被噪声污染,严重影响到监测结果的可靠性。通过研究小波变换对信号的时频分析能力,结合无线电信号的数学模型和物理特征,提出一种有效的小波包阈值去噪算法。通过大量实验表明,小波包阈值法简单、可靠,能有效去除噪声,恢复无线监测中信号的有用成分。In wireless monitoring system,the received radio signals are polluted to a greater or lesser degree by the noise due to the influence of environment, equipments and other factors. Thus, reliability of the monitoring results is affected seriously. Based on the capability of wavelet transform to analyze time - frequency signals, the mathematical models and physical characteristics of radio signals, we propose a package of effective threshold wavelet denoising algorithm is proposed. Experiments verify that this simple and reliable method can effectively remove noise and exti'act the useful components of signals in wireless monitoring.
分 类 号:TP29[自动化与计算机技术—检测技术与自动化装置]
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