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利用小波分析技术提取移频信号信息特征
引用本文:赵林海,赵胜凯,穆建成. 利用小波分析技术提取移频信号信息特征[J]. 铁道学报, 2006, 28(1): 117-120
作者姓名:赵林海  赵胜凯  穆建成
作者单位:1. 北京交通大学,电子信息工程学院,北京,100044
2. 铁道部,科学技术司,北京,100844
摘    要:针对铁路移频信号的信息特点,提出了利用小波脊线技术分析移频信号信息特征的具体方法。该方法可以快速、准确地计算出移频信号的瞬时频率和信号包络,并根据所得出的瞬时频率推算出相应的调制低频信息,为铁路移频和UM71信号的分析和译码提供了一个新的方案。

关 键 词:小波分析  小波脊线  移频信号
文章编号:1001-8360(2006)00-0117-04
收稿时间:2004-07-30
修稿时间:2005-05-26

Using Wavelet Analysis Technology for Feature Extraction of Frequency Shift Signal
ZHAO Lin-hai,ZHAO Sheng-kai,MU Jian-cheng. Using Wavelet Analysis Technology for Feature Extraction of Frequency Shift Signal[J]. Journal of the China railway Society, 2006, 28(1): 117-120
Authors:ZHAO Lin-hai  ZHAO Sheng-kai  MU Jian-cheng
Affiliation:1.School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing 100044,China;2.Bureau of Sience and Technology, Ministry of Railways, Beijing 100844, China
Abstract:According to the features of frequency shift signals, a feature extraction method based on the wavelet ridge line technique is proposed.This method provides a quick and accurate way to calculate the instantaneous frequency and envelope of frequency shift signal.Based on the calculated instantaneous frequency,the modulating low frequency can be imputted accordingly,thus providing a new scheme for analyzing and decoding the railway dedicated frequency shift signal and UM71 signal.
Keywords:wavelet analysis  wavelet ridge  frequency shift signal
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