Blind Channel Identification and Equalization from Second-Order Statistics and Absolute Mean (Special Issue on Personal Communications)
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概要
- 論文の詳細を見る
This paper presents a new blind identification method of nonminimum phase FIR systems and an adaptive blind equalization for PAM/QAM inputs without employing higher-order statistics. They are based on the observation that the absolute mean of a second-order white sequence can measure whether the sequence is higher-order white or not. The proposed methods are new alternatives to many higher-order statistics approaches. Some computer simulations show that the absolute mean is exactly estimated and the proposed methods can over-come the disadvantages of the higher-order statistics approaches.
- 社団法人電子情報通信学会の論文
- 1996-09-25
著者
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Song I
Korea Advanced Inst. Sci. And Technol. Daejeon Kor
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Song Iickho
Korea Advanced Inst. Of Sci. And Technol. Daejeon Kor
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Song Iickho
Department Of Electrical Engineering Korea Advanced Institute Of Science And Technology (kaist)
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Song Iickho
The Department Of Electrical And Computer Engineering Queen's University
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Kim H‐m
Korea Res. Inst. Biosci. And Biotechnol. Taejon Kor
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Kim H‐m
Korea Advanced Inst. Of Sci. And Technol. (kaist) Taejon Kor
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Park Kang
The Department Of Electrical Engineering Korea Advanced Institute Of Science And Technology (kaist)
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PARK Yangsoo
the Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST)
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KIM Hyung-Myung
the Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST)
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Park Yangsoo
Department Of Electrical Engineering Korea Advanced Institute Of Science And Technology (kaist)
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Kim Hyung-myung
The Department Of Electrical Engineering Korea Advanced Institute Of Science And Technology
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