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Question 1: Binary SFOGMs method is an effective filtering technique, can the author provide some insights about the error rate or limitation of such method? Especially for high spatial frequency, it is common to have order jump, I can see this method has potential to remove such contents. ǰ°ë¾äÊÇÏ£ÍûÎÒÄܶÔÕâ¸ö·½·¨µÄÎó²îÂÊ»òÕß¾ÖÏÞÐÔ¸ø³ö¼û½â¡£ ºó°ë¾ä£º¶ÔÓÚ¸ßÆµ¹âÕ¤À´Ëµ£¬Óм¶ÊýÌøÔ¾ÊÇÕý³£µÄ£¬¡° I can see this method has potential to remove such contents.¡±Õâ¾äÊÇʲôÒâ˼£¿ÎÒ×Ô¼ºÈÏΪÊÇ¡°ÎÒ¾õµÃÕâ¸ö·½·¨ÓÐÒÆ³ýÕâ¸ö¼¶ÊýÌøÔ¾µÄ¿ÉÄÜÐÔ¡±£¿»¹ÊÇÓÐÆäËûÒâ˼£¿ Question 2: The other concern of this method is that, is this algorithm potentially to make data better? For example, in Fig. 9 and 10, it is normal to have spikes at the surface edge, which is a famous ¡°bat wing¡± effect due to dispersion. But by using the proposed algorithm, it smoothes out this real noise from measurement. ÕâµÚÒ»¾ä»°ÊÇ»³ÒÉÎÒÓйÊÒâʹÊý¾Ý±äºÃµÄ¿ÉÄÜ£¬»¹ÊDZȽÏÖ±°×µÄÎÊ¡°Õâ¸öËã·¨Äܹ»Ç±ÔÚµÄʹÊý¾Ý±äµÃ¸üºÃ¡±£¿Çó½â |
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