SPLIT SPECTRUM PROCESSING - A NEW FILTERING APPROACH FOR IMPROVED SIGNAL-TO-NOISE RATIO ENHANCEMENT OF ULTRASONIC SIGNALS

被引:25
|
作者
KARPUR, P
CANELONES, OJ
机构
[1] Research Institute, University of Dayton, Dayton, OH 45469-0127
关键词
SPLIT SPECTRUM PROCESSING; FILTERING; SNR ENHANCEMENT;
D O I
10.1016/0041-624X(92)90090-9
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Split spectrum processing is a frequency diversity technique used to enhance the signal-to-noise ratio of ultrasonic signals. Traditionally, many Gaussian bandpass filters are used to achieve frequency diversity. This paper introduces an alternative method of obtaining frequency diversity wherein raised-cosine bandpass filters with flat-tops are recommended for use. The reasoning behind the use of raised-cosine filters is outlined. Experimental results are provided to demonstrate the advantages of the raised-cosine filters over Gaussian filters. Finally, the limitation of the new filters is experimentally shown.
引用
收藏
页码:351 / 357
页数:7
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