Title :
Weighted median based filters for the complex domain
Author :
Rodriguez, J. Bacca ; Hoyos, S. ; Li, Y. ; Arce, G.R.
Author_Institution :
Electr. & Comput. Eng., Delaware Univ., Newark, DE, USA
Abstract :
Weighted median (WM) filtering structures for complex-valued samples have been proposed but none of them allows the use of complex-valued weights. This paper defines complex-valued weighting for median filters with complex-valued input samples. Two different approaches to the handling of weights in the complex domain are presented, both derived from characteristics of complex-valued linear filters, resulting in two definitions of the complex weighted median filter. The LMS optimizations of the proposed filtering schemes are also presented. Simulations are shown illustrating the performance of the new complex WM filter structures compared with previous approaches to the problem and with classical linear filters.
Keywords :
least mean squares methods; median filters; optimisation; LMS optimizations; complex domain; complex-valued input samples; complex-valued linear filters; complex-valued weights; phase coupling; weighted median based filters; Closed-form solution; Computational complexity; Filtering; Laplace equations; Least squares approximation; Maximum likelihood estimation; Merging; Nonlinear filters; Robustness; Signal processing;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
Print_ISBN :
0-7803-8484-9
DOI :
10.1109/ICASSP.2004.1326406