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This paper presents an algorithm for modulation
recognition of received signals in the presence of additive
white Gaussian noise (AWGN) with the use of the wavelet
transform
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小波神经网络的信号调制识别研究小波神经网络的信号调制识别研究-Wavelet neural network identification of signal modulation wavelet neural network identification of signal modulation
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提出了一种多迸制频移键控(M娲K)信号调制分类及解调方法，选取截获接收机输出的MFSK信
号的时频脊线作为分类特征，利用无监督聚类算法求取最佳聚类数M．利用时频脊线的Ham：小波变换
估计码元宽度，并且利用对应最佳聚类数的聚类中心确定抽判门限，通过对时频脊线抽样判决，实现了
MFSK信号的解调．理论分析和对实际信号的处理结果证明了此算法的可行性．-new algorithm is proposed for elassillcation and demodulation of MFSK
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GSM中GMSK调制信号的产生，包含了阵列信号处理的常见算法，关于小波的matlab复合分析。- GSM is GMSK modulation signal generation, Contains a common array signal processing algorithm, Matlab wavelet analysis on complex.
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小波包分析提取振动信号中的特征频率，GSM中GMSK调制信号的产生，连续相位调制信号(CPM)产生。- Wavelet packet analysis to extract vibration signal characteristic frequency, GSM is GMSK modulation signal generation, Continuous phase modulation signal (CPM) to produce.
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