摘要
把一种最新的基于Renyi熵的随机梯度最陡下降的盲均衡算法引入到正交小波CMA盲均衡(WBCMA)中,使得正交小波盲均衡算法的收敛速度显著增加,而计算量却增加很少.
A novel blind equalization algorithm based on stochastic gradient decent minimization of Renyi's entropy was introduced to orthonomal wavelet based CMA blind equalization .In comparison with WBCMA ,the proposed algorithm shows a remarkable increase in convergence speed with only a moderate increase in computation.
出处
《应用科技》
CAS
2004年第2期14-15,共2页
Applied Science and Technology
