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Your search keyword '"*RANDOM noise theory"' showing total 2 results
2 results on '"*RANDOM noise theory"'

1. INTERFERENCE MODELING IN WIRELESS COMMUNICATIONS.

Author

Xueshi Yang and Petropulu, Athina P.

Subjects
WIRELESS communications, DATA transmission systems, GAUSSIAN processes, RANDOM noise theory, STOCHASTIC information theory, STOCHASTIC processes, SIGNAL detection
Abstract

The article describes the interference modeling in wireless communication. In wireless communication networks, signal reception is often corrupted by interference from other sources that share the same propagation medium. Knowledge of the statistics of interference is important in achieving optimum signal detection and estimation. Construction of most receivers is based on the assumption that the interference is independent, identically distributed Gaussian. The Gaussianity assumption is based on the central-limit theory.

Published
2003

2. Design of data-dependent α-trimmed mean filters using counterpropagation networks.

Author

Ochiai, Takashi, Muneyasu, Mitsuji, Sasaki, Kazuya, and Hinamoto, Takao

Subjects
*FILTERS (Mathematics), *RANDOM noise theory, *IMAGE processing, *STOCHASTIC information theory, *UNCERTAINTY (Information theory), *STOCHASTIC processes, *INFORMATION processing, *GAUSSIAN processes
Abstract

Elimination of mixed noise consisting of white Gaussian noise and impulsive noise is one of the important problems in image processing. In this paper, a data-dependent α-trimmed mean filter using backpropagation networks is proposed. In order to determine an appropriate value of α for each processing point, the pattern classification capability of the backpropagation networks is used. Further, by processing taking into account the edge portions, both edge preservation and mixed noise elimination are attained simultaneously. Finally, the effectiveness of the proposed method is verified by simulation. © 2003 Wiley Periodicals, Inc. Electron Comm Jpn Pt 3, 86(7): 30–40, 2003; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecjc.10061 [ABSTRACT FROM AUTHOR]

Published
2003
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