Journal of Applied Sciences ›› 2003, Vol. 21 ›› Issue (1): 1-4.

• Articles •     Next Articles

Automatic Recognition Algorithm of the Upper Sideband and the Lower Sideband SSB Signals by Using the Adaptive Threshold

FANG Xiao-qing, JI Yong, XU Pei-xia   

  1. Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei 230027, China
  • Received:2001-12-20 Revised:2002-03-05 Online:2003-03-10 Published:2003-03-10

Abstract: 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.

Key words: single sideband, speech spectrum, Rayleigh channel, adaptive threshold

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