Parametric Wiener Filter with Linear Constraints for Unknown Target Signals-Reference-Cited by-同舟云学术

Parametric Wiener Filter with Linear Constraints for Unknown Target Signals

Published:2014 Issue:1 Volume:E97.A Page:322-330
ISSN:0916-8508
Container-title:IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
language:en
Short-container-title:IEICE Trans. Fundamentals

Author:

TANAKA Akira¹,IMAI Hideyuki¹

Affiliation:

1. Division of Computer Science, Graduate School of Information Science and Technology, Hokkaido University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing

Link

https://www.jstage.jst.go.jp/article/transfun/E97.A/1/E97.A_322/_pdf

Reference16 articles.

1. [1] A. Rosenfeld and C. Kak, Digital Picture Processing, Academic Press, 1976.

2. [2] A. Tanaka, N. Otani, and M. Miyakoshi, “Regularized inverse filter design for sound reproduction systems,” IEICE Trans. Fundamentals (Japanese Edition), vol.J87-A, no.11, pp.1466-1467, Nov. 2004.

3. [3] Y. Yamashita and H. Ogawa, “Optimum image restoration filters and generalized inverses of operators,” IEICE Trans. Inf. & Systs. (Japanese Edition), vol.J75-D-II, no.5, pp.883-889, May 1992.

4. [4] B.R. Hunt, “The application of constrained least-squares estimation to image restoration by digital computer,” IEEE Trans. Comput., vol.C-22, pp.805-812, 1973.

5. [5] Y. Koide, Y. Yamashita, and H. Ogawa, “A unified theory of the family of projection filters for signal and image estimation,” IEICE Trans. Inf. & Systs. (Japanese Edition), vol.J77-D-II, no.7, pp.1293-1301, July 1994.