方形QAM信号的识别算法

提出了一种识别方形QAM信号(4QAM、16QAM、64QAM和256QAM)的新方法,该方法将特征参数和信号降阶算法有效的结合。所选用的特征参数提取简单且易于实现,不受加性高斯噪声的影响;给出了该算法的理论推导,计算机仿真也表明该参数对滚降系数不敏感;选用的降阶方法不受载波相位的影响,较为实用。实验结果表明,该识别方法能够有效的识别方形QAM信号,4QAM、16QAM、64QAM和256QAM的识别率达到80%以上所需的信噪比分别为9dB、15dB、24dB和24dB。

傅里叶变换在大学物理电流信号中的运用

傅里叶级数变换是数学物理方法常用的一种变换方法,它在大学物理中运用十分广泛,尤其是电流信号处理中。从高等数学中傅里叶变换的定义出发,对电流信号中常见方形信号、锯齿信号进行傅里叶变换,得出结论,复杂电流信号都能分解成许多一系列简谐电流信号的叠加。

A kind of denoising method for airborne waveform sampling LiDAR

This paper describes a full waveform sampling LiDAR system applying stripe principle. A kind of denoising method based on edge detection of original stripe signal is proposed. This method is compared with other denoising methods, such as Wiener filtering, mean filtering and median filtering. It is found that the proposed denoising method is much more effective for dealing with the waveform signals.