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区间小波变换域的2-PAM信号自适应均衡算法

A New Adaptive Equalization Algorithm for 2-PAM Signal in the Interval Wavelet Transform Domain
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摘要 1引言 为了克服数字通信尤其是无线通信中所产生的码间干扰,一般需使用均衡器.最简单的均衡器是用FIR滤波器实现并采用最小均方误差(LMS)算法的线性横向均衡器(LTE),其优点是结构简单,易于实现,缺点是收敛速度较慢.为了提高收敛速度,可以对信号作正交变换,然后在变换域中通过自正交等方法降低相关阵的条件数来提高收敛速度[1],比如文[2]提出的就是一种基于小波变换的自适应均衡算法. To make full use of the sparse structure of the wavelet transform correlation matrices and the ability of the interval wavelet to restrain edge effects. a new adaptive equalization algorithm in the interval wavelet transform domain is presented. Also, a new method for getting a sparse correlation matrix is described. The complexity of the new equalization algorithm is about O(NlogN)by using the preconditioned conjugate gradient method. Simulation shows its convergence speed is faster and its computation complexity is smaller.
出处 《计算机科学》 CSCD 北大核心 2002年第8期99-100,114,共3页 Computer Science
基金 国家自然科学基金(69972034)
关键词 自适应信号处理 小波变换域 2-PAM信号 自适应均衡算法 Interval wavelets,Wavelet transform,Adaptive equalization,Sparse matrix
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参考文献7

  • 1Lee J C. Performance of transform-domain LMS adaptive digital filters. IEEE Trans onASSP, 1986, 34(3):499~510
  • 2Erdol N, Basbug F. Wavelet transform based adaptire filters: analysis and new results. IEEE Trans on SP, 1996,44(9) :2163~ 2171
  • 3Tewfik A H,Kim M. Fast positive definite linear system solvers. IEEE Trans on SP, 1994,42(3): 572~585
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