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A new adaptive equalization algorithm based on orthogonal multiwavelets |
Wang Junfeng; Song Guoxiang |
School of Science Xidian University Xi an 710071 China |
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Abstract A new equalizer represented by a set of orthogonal multiwavelets is presented. Since multiwavelets can be orthogonal, compactly supported and linear phase, the multiwavelets transformed correlation matrices have less non-zero elements and smaller boundary effects than that of wavelet. So, a new multiwavelet transform domain newton-LMS adaptive equalization algorithm is described, and its complexity is O(N log N) by using the preconditioned conjugate gradient algorithm. Simulation shows its convergence speed is faster and its realization is easier.
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Received: 13 April 2001
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