Two-dimensional LMS adaptive linear phase filters

نویسندگان

  • Soo-Chang Pei
  • Ching-Yung Lin
  • Chien-Cheng Tseng
چکیده

The two-dimensional least mean square ( 2 0 LMS) adaptive filters have been recently used in the image processing applications for reducing the noise. I n this paper, a new two-dimensional LMS algorithm is proposed. For the special desires to the linear phase constraint during filtering the images, a n additional linear phase constraint is added to the existing 2 0 LMS algorithms. Compare with the conventional algorithms, the results show that the proposed algorithm is much more efficient both in computation time and memory st orag e .

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تاریخ انتشار 1993