葉顯椏2006-08-232018-06-282006-08-232018-06-281999http://ntur.lib.ntu.edu.tw//handle/246246/29294，我們就針對 南海所蘊藏之漁業生物資源，應用海研壹號研究船上的Simrad EK500 (38kHz) 型魚探機，能遙測出單體魚回訊的特點，發展出了Sv 雜訊分離演算模式，以期有效分離出Sv 訊號中屬於漁業資源生物的回訊，俾供日後以聲探法進行資源評估時之參考依據。　For echo integration, background noise can sometimes be excluded from the integration process by the use of a threshold filter. But, a high noise level threshold may have also excluding significant amounts of echo signals arisen from biological targets, while a low noise level threshold would affect otherwise. Since the components of background noise are complex and variable, to improve the accuracy of hydroacoustic fishery resource assessment, some noise clarification algorithms to dynamically setting the appropriate threshold of noise level are worthwhile for further investigation. In this study we have (1) developed an algorithm for background noise filtering to improve the accuracy of hydroacoustic fishery resource assessment; and (2) developed an effective echo data retrieval and compilation system for fisheries resources assessment purpose, particularly, in the South China Sea region.application/pdf40663 bytesapplication/pdfzh-TW國立臺灣大學海洋研究所漁業聲學南海聲探雜訊濾除單位體積背景散亂反射強度HydroacousticSouth China seaBackground noisesvolume[SDGs]SDG14reporthttp://ntur.lib.ntu.edu.tw/bitstream/246246/29294/1/882611M002009AP7.pdf