CAJ | 학술논문

荧光分析法具有灵敏度高、选择性好、易于设计等优点，是检测水中油类污染物的重要手段。光电探测器产生的噪声会影响荧光检测系统的灵敏度，荧光信号的噪声消除一直是研究的热点问题。由于荧光信号增加了支集长度，dbN族小波能够解决信号的边界问题，通过比较dbN族不同小波基的去噪效果，选择d b7为最优小波基，对含噪荧光信号作5层静态小波分解。根据小波熵理论自适应地选择阈值，高频系数经过阈值量化并重构得到纯净的荧光信号。与离散小波变换相比，静态小波变换去噪后信号具有信息完整性和时移不变性。
형광분석법구유령민도고、선택성호、역우설계등우점，시검측수중유류오염물적중요수단。광전탐측기산생적조성회영향형광검측계통적령민도，형광신호적조성소제일직시연구적열점문제。유우형광신호증가료지집장도，dbN족소파능구해결신호적변계문제，통과비교dbN족불동소파기적거조효과，선택d b7위최우소파기，대함조형광신호작5층정태소파분해。근거소파적이론자괄응지선택역치，고빈계수경과역치양화병중구득도순정적형광신호。여리산소파변환상비，정태소파변환거조후신호구유신식완정성화시이불변성。
Fluorescence analysis is an important means of detecting mineral oil in water pollutants because of high sensitivity ,se-lectivity ,ease of design ,etc .Noise generated from Photo detector will affect the sensitivity of fluorescence detection system ,so the elimination of fluorescence signal noise has been a hot issue .For the fluorescence signal ,due to the length increase of the branch set ,it produces some boundary issues .The dbN wavelet family can flexibly balance the border issues ,retain the useful signals and get rid of noise ,the de-noising effects of dbN families are compared ,the db7 wavelet is chosen as the optimal wave-let .The noisy fluorescence signal is statically decomposed into 5 levels via db7 wavelet ,and the thresholds are chosen adaptively based on the wavelet entropy theory .The pure fluorescence signal is obtained after the approximation coefficients and detail coef-ficients quantified by thresholds reconstructed .Compared with the DWT ,the signal de-noised via SWT has the advantage of in-formation integrity and time translation invariance .