Gradient Adaptive Algorithms for Contrast-Based Blind Deconvolution
Journal of VLSI Signal Processing Systems
Journal of VLSI Signal Processing Systems
Algorithm of the radar imaging by using the wideband signals with the distorted signal phases
EURASIP Journal on Applied Signal Processing
Brief Regularization networks for inverse problems: A state-space approach
Automatica (Journal of IFAC)
Hi-index | 35.69 |
In equalization and deconvolution tasks, the correlated nature of the input signal slows the convergence speeds of stochastic gradient adaptive filters. Prewhitening techniques have been proposed to improve the convergence performance, but the additional coefficient memory and updates for the prewhitening filter can be prohibitive in some applications. We present two simple algorithms that employ the equalizer as a prewhitening filter within the gradient updates. These self-whitening algorithms provide quasi-Newton convergence locally about the optimum coefficient solution for deconvolution and equalization tasks. Multichannel extensions of the techniques are also described