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디지탈 필타 설계에서 이동 평균법을 사용한 잡음제거 특성에 관한 연구
박규태,박명구,김연태 연세대학교 산업기술연구소 1985 논문집 Vol.17 No.1
The smoothing method, which is one of the noisy signal processing techniques, is used in order to process the data corrupted with Gaussian White Noise using 5,7 and 9 size window functions. A simple convolution averaging, polynominal curve-fitting and adaptive smoothing methods are used for smoothing. The maximum size of the window function for the simple convolution averaging method is 7, which is about 1/3 of the total sequence, because of the obvious distortion to the original signal. The distortion characteristics of ploynominal curve-fitting method is better than that of the simple convolution averaging method even though the S/N ratio of it is degraded by 3.77 dB for the window size of 5 and 3.63dB for the window size of 9. It is found that the characteristics of filtering of adaptive smoothing method is the best for the 25 sequence data judging from distortion inducement.