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Ȩ Ȩ > ¿¬±¸¹®Çå > ¿µ¹® ³í¹®Áö > Journal of EEIS

Journal of EEIS

Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) Autoassociative Memory Trained by Order Statistics for Noise Reduction
¿µ¹®Á¦¸ñ(English Title) Autoassociative Memory Trained by Order Statistics for Noise Reduction
ÀúÀÚ(Author) Jinsoo Bae   Sun Yong KIm   Seong Ro Lee   Seong Ill Park   Iikho Song  
¿ø¹®¼ö·Ïó(Citation) VOL 01 NO. 03 PP. 0087 ~ 0089 (1996. 09)
Çѱ۳»¿ë
(Korean Abstract)
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(English Abstract)
In this paper, noise reduction using the autoassociative memory is considered for possible applications to constant signal detection. We use order statistics to help the neural newtwork learn the noise characteristics. In essence, the performance of this neural network is shown to not depend on the distribution of noise, based on simulations for six well known noise probability density functions.
Å°¿öµå(Keyword) Signal Processing   Autoassociative Memory   Noise Reduction  
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