Special non-linear filter and extension to Shannon's channel capacity

被引:30
作者
Feng, Man [1 ]
Wu, Lenan [1 ]
机构
[1] Southeast Univ, Inst Informat Sci & Engn, Nanjing 210096, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Channel capacity; Neural networks; Signal bandwidth; Noise bandwidth; Geometric feature filter (GFF); Information theory;
D O I
10.1016/j.dsp.2009.03.003
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The well-known Shannon's channel capacity defines the maximum transmission rate of communications in band-limited AWGN channels. An extended channel capacity equation is proved under the assumption of the different signal and noise bandwidth. Then a special filter named as the geometric feature filter (GFF) and satisfied with this assumption is found. Results indicate that Shannon's channel capacity equation is just a special example of this extension in the case of the same signal and noise bandwidth, but in different signal and noise bandwidth, capacity bounds should be calculated by this extension, which is a very important supplement to information theory. (C) 2009 Elsevier Inc. All rights reserved.
引用
收藏
页码:861 / 873
页数:13
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