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1.ËÑË÷ÐźÅÖ÷º¯Êý£º
function SignalSearch(Obj,handles)
%ËÑË÷Ðźź¯Êý
lowlim=str2double(get(handles.edit_f1,'String'));
gdbase=str2double(get(handles.edit_gdbase,'String'));
err=str2double(get(handles.edit_err,'String'));
ishand=get(handles.checkbox_hand,'Value');
index=get(handles.datalist,'Value');
if(index<1)
return
end
data=Obj.DM.datas{index};
autocut=get(handles.checkbox_autocut,'Value');
[signaldata cut]=Obj.test1(data,lowlim,autocut,ishand,gdbase,err);
Obj.DM.signaldatas{index}=signaldata;
Obj.DM.cuts{index}=cut;
return
2.ËÑË÷ÐźÅÖ÷º¯ÊýÖе÷ÓõÄtest1º¯Êý£¬ÓÃÀ´²éÕÒÐźźͽµÔë
function [signals num]=findsignal(data2,base,d,lowlim,start,num)%¶ÔÒ»¸öÊý¾Ý¶ÎÑ°ÕÒÐźŵĺ¯Êý
data=data2(:,2);
c_signals=find(data<(base-d));%ËùÓÐÒÉËÆÐźŵãµÄλÖõÄÊý×é
if(isempty(c_signals))
signals=[];
return
end
len=length(data);
signals_place=find(c_signals(2:end)-c_signals(1:end-1)>1);
d_signals=[[1;signals_place+1] [signals_place;length(c_signals)]];% ÒÔ×óÓÒÁ½¶ËµÄÐÎʽ½«ÒÉËÆÐźŷÅÈën*2Êý×é
e_signals=c_signals(d_signals);
if(length(e_signals)==2)
e_signals=e_signals';
end
f_signals=[e_signals(:,1)*2-e_signals(:,2) e_signals(:,2)*2-e_signals(:,1)];% ¼ì²âµç´ÅÐźŵķ¶Î§£ºÇ°ºóÓëÐźų¤¶ÈÏàͬµÄ³¤¶È·¶Î§f_signals(f_signals<1)=1;
f_signals(f_signals>len)=len;%È¥³ýÎÞЧֵ
g_signals=[e_signals(:,1)-10 e_signals(:,2)+10];%ÓÃÓÚÑ°ÕÒÁ½¶ËµÄ·¶Î§
g_signals(g_signals<1)=1;
g_signals(g_signals>len)=len;%È¥³ýÎÞЧֵ
signals=[];
i=1;
while(i<=size(e_signals,1))
minpoint=base-min(data(e_signals(i,1):e_signals(i,2)));
bdata=data(f_signals(i,1):f_signals(i,2));
maxpoint=max(bdata)-base;
if(maxpoint>minpoint)%¸ù¾ÝÊÇ·ñº¬Óеç´Å¸ÉÈÅɸѡ
e_signals(i,:)=[];
f_signals(i,:)=[];
g_signals(i,:)=[];
else
if(g_signals(i,2)<40||g_signals(i,1)>length(data)-40)
e_signals(i,:)=[];
f_signals(i,:)=[];
g_signals(i,:)=[];
else
bddata=data(g_signals(i,1):g_signals(i,2));
diffdata=[0;diff(bddata)];
e_signals(i,1)=g_signals(i,1)-1+find(diffdata<=0.27*min(diffdata),1);
temp=find(diffdata>=0.25*max(diffdata));
e_signals(i,2)=g_signals(i,1)-1+temp(end);
num=num+1;
if(e_signals(i,2) temp=e_signals(i,2); e_signals(i,2)=e_signals(i,1); e_signals(i,1)=temp; end signals{i}=SignalAnalysis(data2,e_signals(i,:),start,num); i=i+1; end end end end ²Î¿¼ÎÄÏ×£º 1. ºú¹ãÊé. Êý×ÖÐźŴ¦Àí[M]. ±±¾©:Ç廪´óѧ³ö°æÉç, 2003. 1-3 2. ¶¡¿Ë¼ó, Õź£Ñà, ºúºì¸Õ, ÕÔºìÃô, ¹Øΰ¾ü, ÂíÔ»Ô. ÉúÎï´ó·Ö×ÓÄÉÃ׿׷ÖÎö¼¼ÊõÑо¿½øÕ¹[C]. ±±¾©:·ÖÎö»¯Ñ§, 2010. 280-285 3. Jacob, K, Rosenstein, Meni, Wanunu, Christopher, A, Merchant, Marija, Drndic, Kenneth, L, Shepard. Integrated nanopore sensing platform with sub-microsecond temporal resolution[C]. New York, USA:nature methods, 2012. 487-487 Ñàɽ´óѧ µçÆø¹¤³ÌѧԺ ¿Î³ÌÉè¼Æ˵Ã÷Êé Éè¼ÆÌâÄ¿£º FTÓëDFTµÄ¶Ô±È ϵ ±ð£º µçÆø¹¤³Ìϵ Ä꼶רҵ£º ¼ì²â11-1°à ѧ ºÅ£º ѧÉúÐÕÃû£º Ö¸µ¼½Ìʦ£º ½Ìʦְ³Æ£º ¸±½ÌÊÚ µçÆø¹¤³ÌѧԺ¡¶¿Î³ÌÉè¼Æ¡·ÈÎÎñÊé ¿Î³ÌÃû³Æ£º Êý×ÖÐźŴ¦Àí¿Î³ÌÉè¼Æ »ù²ã½Ìѧµ¥Î»£ºÒÇÆ÷¿ÆѧÓ빤³Ìϵ Ö¸µ¼½Ìʦ£º ˵Ã÷£º1¡¢´Ë±íһʽËÄ·Ý£¬Ïµ¡¢Ö¸µ¼½Ìʦ¡¢Ñ§Éú¸÷Ò»·Ý£¬±¨ËÍÔº½ÌÎñ¿ÆÒ»·Ý¡£ 2¡¢Ñ§ÉúÄÇ·ÝÈÎÎñÊéÒªÇó×°¶©µ½¿Î³ÌÉè¼Æ±¨¸æÇ°Ãæ¡£ µçÆø¹¤³ÌѧԺ ½ÌÎñ¿Æ ÕªÒª£ºËæ×ÅÐÅÏ¢¿ÆѧºÍ¼ÆËã»ú¼¼ÊõµÄѸËÙ·¢Õ¹£¬Êý×ÖÐźŴ¦ÀíµÄÀíÂÛÓëÓ¦Óõõ½ÁË·ÉԾʽ·¢Õ¹£¬ÐγÉÒ»Ãż«ÆäÖØÒªµÄѧ¿Æ¡£±¾ÎÄÂÛÊöÁËÔÚÊý×ÖÐźŴ¦Àí¹ý³ÌÖÐÈçºÎʹÓÃMATLABÈí¼þ±à³Ì£¬´Ó¶øʹһЩÔËËãÁ¿´ó¡¢³éÏó¸´ÔÓµÄÎÊÌâ±äµÃ¼òµ¥¶øÖ±¹Û¡£ ¹Ø¼ü×Ö£ºÊý×ÖÐźŴ¦Àí FTÓëDFT MATLAB Abstract:Along with the rapid development of information science and computer technology, digital signal processing has exploded in recent years and it is becoming an extremely important subject. This article discusses the applications of the soft ware MATLAB in digital signal processing, and describes how to make it simple and straight for the complicated computations and abstract problems. 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