基于小波变换的数字通信信号特征提取

Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers Pub Date : 1995-10-30 DOI:10.1109/ACSSC.1995.540557

R. Hippenstiel, M. Fargues

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引用次数: 3

摘要

采用比例带宽处理和小波变换对数字通信信号进行瞬态特征提取。检测噪声BPSK、QPSK、FSK、ASK信号的切换次数。基于各种小波函数的尺度图用于检测超过阈值信噪比的开关次数。应用了经典小波、比例带宽处理和Morlet小波变换。

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Feature extraction from digital communication signals using wavelet transforms

Proportional bandwidth processing and wavelet transforms are applied to extract transient features from digital communication signals. Switching times of noisy BPSK, QPSK, FSK, and ASK signals are detected. The scalogram based on a variety of wavelet functions is used to detect the switching times above a threshold signal to noise ratio. Classical wavelets, proportional bandwidth processing schemes and the Morlet wavelet transform are applied.

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Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers

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