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