DocumentCode :
1747231
Title :
Noise reduction using Haar wavelet and identification of nonlinear channel for QAM using neural network
Author :
Lee, Seok Won ; Nam, Boo Hee
Author_Institution :
Dept. of Control & Instrum. Eng., Kangwon Nat. Univ., Chunchon, South Korea
Volume :
1
fYear :
2001
fDate :
2001
Firstpage :
488
Abstract :
Recently, a considerable amount of attention is being given to the use of wavelets and neural network for modulation and equalization. The authors proposed a new scheme of equalization for constellation using discrete wavelet transform (DWT) and neural network. The DWT is used for noise reduction and the neural network is used to update the equalizer coefficients adaptively
Keywords :
Haar transforms; adaptive equalisers; discrete wavelet transforms; identification; interference suppression; neural nets; quadrature amplitude modulation; telecommunication channels; telecommunication computing; Haar wavelet; QAM; adaptive equalizer coefficients updating; constellation equalisation; discrete wavelet transform; equalization; modulation; neural network; noise reduction; nonlinear channel identification; Discrete wavelet transforms; Dispersion; Equalizers; Intersymbol interference; Neural networks; Noise generators; Noise reduction; Nonlinear distortion; Quadrature amplitude modulation; Wavelet packets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, 2001. Proceedings. ISIE 2001. IEEE International Symposium on
Conference_Location :
Pusan
Print_ISBN :
0-7803-7090-2
Type :
conf
DOI :
10.1109/ISIE.2001.931839
Filename :
931839
Link To Document :
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