초음파 영상시스템에서 카이저 윈도우를 이용한 사이드 로브 감축에 관한 연구 = A Study on Sidelobe Reduction Using Kaiser Window in Ultrasonic Imaging System

다국어 초록 (Multilingual Abstract)

In this paper, we compared the performance of the Kaiser window with those of others as a weight function of well known anodization technique for regression of side lobe in a field pattern resulted from focusing of transducer array. The Kaiser window is an window providing many types of curve with several variables. In order to compare performance of the Kaiser window as the weight function, anodization results of the previously used Hamming window function and the Matched Gaussian function are compared Result of computer simulation, the pertormance of Kaiser window with $\delta$=0.0025 in side lobe regression was better than that of Hamming window or Matched Gausian function.