Journal of Applied Sciences ›› 2003, Vol. 21 ›› Issue (1): 1-4.
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FANG Xiao-qing, JI Yong, XU Pei-xia
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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
CLC Number:
TN911.6
FANG Xiao-qing, JI Yong, XU Pei-xia. Automatic Recognition Algorithm of the Upper Sideband and the Lower Sideband SSB Signals by Using the Adaptive Threshold[J]. Journal of Applied Sciences, 2003, 21(1): 1-4.
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