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Amplitude Distribution Estimation of White Noise Based on EMD and Parzen Window

机译:基于EMD和Parzen窗的白噪声幅度分布估计

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The signal transmitted is often added by white noise in the transmission channel of the communication system. That may result in the distortion of the signal and induce the difficulty of the signal demodulation at the receiving end. Comparing to the traditional estimation method which relies on amount of prior knowledge,a novel method of amplitude estimation of signal white noise based on EMd algorithm and Parzen Window according to the finiteduration signals is proposed. It could be used for the amplitude distribution estimation of white noise added in the channel or comparing the energies of white noises added in different channels and evaluating the quality of the channels. The novel method is simulated in the paper. It shows that the method can achieve and is intuitive by the analysis of the picture about the process and result.
机译:通常,在通信系统的传输通道中,白噪声会增加发送的信号。这可能导致信号失真,并在接收端引起信号解调的困难。相对于传统的基于先验知识的估计方法,提出了一种基于有限时间信号的基于EMd算法和Parzen窗的信号白噪声幅度估计的新方法。它可用于估算在通道中添加的白噪声的幅度分布,或者用于比较在不同通道中添加的白噪声的能量并评估通道的质量。本文对这种新方法进行了仿真。通过对过程和结果的图片分析,表明该方法可以实现并且很直观。

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