期刊文献+

识别LSB和USB的门限自适应算法 被引量:2

Automatic Recognition Algorithm of the Upper Sideband and the Lower Sideband SSB Signals by Using the Adaptive Threshold
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摘要 基于语音谱的统计特性提出了一种从模拟话音SSB信号中自动识别出LSB或USB调制方式的算法.该算法简单,计算量小,非常适合用DSP来实时实现;门限自适应处理使得该算法鲁棒性较好.仿真结果表明该算法在低信噪比时仍有令人满意的识别效果. Based on the statistical characterisitic of speech spectrum, a new algorithm which can distinguish LSB or USB cases of speech from SSB signals without any prior information is presented here. It is simple and very suitable for DSP's real-time implementation, and the adaptive threshold increases the algorithm's robustness. The simulation results show that this algorithm gives good performance even under the conditions of low SNR values.
出处 《应用科学学报》 CAS CSCD 2003年第1期1-4,共4页 Journal of Applied Sciences
关键词 LSB USB 门限自适应算法 语音谱 RAYLEIGH信道 语音信号识别 单边带调制方式 特征提取 single sideband speech spectrum Rayleigh channel adaptive threshold
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参考文献3

  • 1拉宾纳LR 谢弗RW.语音数字信号处理[M].北京:科学出版社,1983.135-137.
  • 2RappaportTS.无线通信原理与应用[M].北京:电子工业出版社,1998.173.
  • 3方晓青.[D].安徽:中国科学技术大学电子工程与信息科学系,2001:9-10.

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同被引文献5

  • 1A K Nandi,E E Azzouz.Automatic analogue modulation recognition[J].Signal Processing,1995,46:221-222.
  • 2E E Azzouz,A K Nandi.Automatic Modulation Recognition of Communication Signals[M].by Kluwer Academic publicshers,1996.
  • 3W A Gardner.Introduction to random process[M].second edition,mcgraw-hill publishing company,1989.
  • 4Y O Al-Jalili.Identification algorithm of upper sidband and lower sidband SSB signals[J].Signal Processing,1995,42:207-213.
  • 5Shintaro Taira,Eiichiro Murakami.Automatic Classification of Analogue Modulation Signals by Statistical Parameters[A].Military Communications Conference Proceedings[C].1999,1:202-207.

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