»ùÓÚMatlabµÄС²¨·ÖÎöÓëÉè¼Æ

»´ÄÏʦ·¶Ñ§Ôº2012½ì±¾¿Æ±ÏÒµÂÛÎÄ

9

CÊÇÒ»¸öÓëÐźÅÎ޹صij£Êý¡£È»¶ø£¬ÔõÑùÑ¡Ôña0ºÍb0£¬²ÅÄܹ»±£Ö¤Öع¹Ðźŵľ«¶ÈÄØ£¿ÏÔÈ»£¬Íø¸ñµãÓ¦¾¡¿ÉÄÜÃÜ£¨¼´a0ºÍb0¾¡¿ÉÄÜС£©£¬ÒòΪÈç¹ûÍø¸ñµãԽϡÊ裬ʹÓõÄС²¨º¯Êý?j,k(t)ºÍÀëɢС²¨ÏµÊýCj,k¾ÍÔ½ÉÙ£¬ÐźÅÖØ¹¹µÄ¾«È·¶ÈÒ²¾Í»áÔ½µÍ¡£ 2.2.3С²¨°ü·ÖÎö

¶Ìʱ¸µÁ¢Ò¶±ä»»¶ÔÐÅºÅµÄÆµ´ø»®·ÖÊÇÏßÐԵȼä¸ôµÄ¡£¶à·Ö±æ·ÖÎö¿ÉÒÔ¶ÔÐźŽøÐÐÓÐЧµÄʱƵ·Ö½â£¬µ«ÓÉÓÚÆä³ß¶ÈÊǰ´¶þ½øÖƱ仯µÄ£¬ËùÒÔÔÚ¸ßÆµÆµ¶ÎÆäƵÂÊ·Ö±æÂʽϲ¶øÔÚµÍÆµÆµ¶ÎÆäʱ¼ä·Ö±æÂʽϲ¼´¶ÔÐÅºÅµÄÆµ´ø½øÐÐÖ¸ÊýµÈ¼ä¸ô»®·Ö£¨¾ßÓеÈQ½á¹¹£©¡£Ð¡²¨°ü·ÖÎöÄܹ»ÎªÐźÅÌṩһÖÖ¸ü¾«Ï¸µÄ·ÖÎö·½·¨£¬Ëü½«Æµ´ø½øÐжà²ã´Î»®·Ö£¬¶Ô¶à·Ö±æÂÊ·ÖÎöûÓÐϸ·ÖµÄ¸ßƵ²¿·Ö½øÒ»²½·Ö½â£¬²¢Äܹ»¸ù¾Ý±»·ÖÎöÐźŵÄÌØÕ÷£¬×ÔÊÊÓ¦µØÑ¡ÔñÏàӦƵ´ø£¬Ê¹Ö®ÓëÐÅºÅÆµÆ×ÏàÆ¥Å䣬´Ó¶øÌá¸ßÁËʱ-Ƶ·Ö±æÂÊ£¬Òò´ËС²¨°ü¾ßÓиü¹ã·ºµÄÓ¦ÓüÛÖµ¡£

¹ØÓÚС²¨°ü·ÖÎöµÄÀí½â£¬ÎÒÃÇÕâÀïÒÔÒ»¸öÈý²ãµÄ·Ö½â½øÐÐ˵Ã÷£¬ÆäС²¨°ü·Ö½âÊ÷Èçͼ

AAA3 S A1 AA2 DAA3 ADA3 DA2 DDA3 AD2 AAD3 DAA3 D1 DD2 ADD3 DDD3 ͼ1С²¨°ü·Ö½âÊ÷

ͼ1ÖУ¬A±íʾµÍƵ£¬D±íʾ¸ßƵ£¬Ä©Î²µÄÐòºÅÊý±íʾС²¨·Ö½âµÄ²ãÊ÷£¨Ò²¼´³ß¶ÈÊý£©¡£·Ö½â¾ßÓйØÏµ£º

S=AAA3+DAA3+ADA3+DDA3+AAD3+DAA3+ADD3+DDD3

3С²¨·ÖÎöÔÚͼÏñ´¦ÀíÖеÄÓ¦Óà 3.1С²¨·ÖÎöÓÃÓÚͼÏñѹËõ

»ùÓÚÀëÉ¢ÓàÏұ任µÄͼÏñѹËõËã·¨£¬Æä»ù±¾Ë¼ÏëÊÇÔÚÆµÓò¶ÔÐźŽøÐзֽ⣬Çý³ýÐźŵãÖ®¼äµÄÏà¹ØÐÔ£¬²¢ÕÒ³öÖØÒªÏµÊý£¬Â˵ô´ÎҪϵÊý£¬ÒԴﵽѹËõµÄЧ¹û£¬µ«¸Ã·½·¨ÔÚ´¦Àí¹ý³ÌÖв¢²»ÄÜÌṩʱÓòµÄÐÅÏ¢£¬ÔÚÎÒÃDZȽϹØÐÄʱÓòÌØÐÔµÄʱºòÏÔµÃÎÞÄÜΪÁ¦¡£

µ«ÊÇÕâÖÖÓ¦ÓõÄÐèÇóÊǺܹ㷺µÄ£¬±ÈÈçÒ£¸Ð²â¿ØÍ¼Ïñ£¬ÒªÇóÔÚÕû·ùͼÏñÓкܸßѹËõ

9

»ùÓÚMatlabµÄС²¨·ÖÎöÓëÉè¼Æ 10

±ÈµÄͬʱ£¬¶ÔÈȵ㲿·ÖµÄͼÏñÒªÓнϸߵķֱæÂÊ£¬ÀýÈçÒ½ÁÆÍ¼Ïñ£¬ÐèÒª¶Ôij¸ö¾Ö²¿µÄϸ½Ú²¿·ÖÓкܸߵķֱæÂÊ£¬µ¥´¿µÄƵÓò·ÖÎöµÄ·½·¨ÏÔÈ»²»ÄÜ´ïµ½Õâ¸öÒªÇó£¬ËäÈ»¿ÉÒÔͨ¹ý¶ÔͼÏñ½øÐзֿì·Ö½â£¬È»ºó¶Ôÿ¿é×÷Óò»Í¬µÄãÐÖµ»òÑÚÂëÀ´´ïµ½Õâ¸öÒªÇ󣬵«·Ö¿é´óСÏà¶Ô¹Ì¶¨£¬ÓÐʧÁé»î¡£

ÔÚÕâ¸ö·½Ã棬С²¨·ÖÎö¾ÍÓÅÔ½µÄ¶à£¬ÓÉÓÚС²¨·ÖÎö¹ÌÓеÄÊ±ÆµÌØÐÔ£¬ÎÒÃÇ¿ÉÒÔÔÚʱƵÁ½¸ö·½Ïò¶ÔϵÊý½øÐд¦Àí£¬ÕâÑù¾Í¿ÉÒÔ¶ÔÎÒÃǸÐÐËȤµÄ²¿·ÖÌṩ²»Í¬µÄѹËõ¾«¶È¡£

¶ÔÓÚͼÏñѹËõÎÒÃÇ¿ÉÒÔÓöþάС²¨À´·ÖÎö¡£ËüµÄÌØµãÊÇѹËõ±È¸ß£¬Ñ¹ËõËٶȿ죬ѹËõºóÄܱ£³ÖͼÏñµÄÌØÕ÷»ù±¾²»±ä£¬ÇÒÔÚ´«µÝ¹ý³ÌÖпÉÒÔ¿¹¸ÉÈÅ¡£Ð¡²¨·ÖÎöÓÃÓÚͼÏñѹËõ¾ßÓÐÃ÷ÏÔµÄÓŵ㡣

ÏÂÃæ¸ø³öÒ»¸öͼÏñÐźţ¨¼´Ò»¸ö¶þάÐźţ¬ÎļþÃûΪwbarb.mat£©£¬ÀûÓöþάС²¨·ÖÎö¶ÔͼÏñ½øÐÐѹËõ¡£Ò»¸öͼÏñ×÷С²¨·Ö½âºó£¬¿ÉµÃµ½Ò»ÏµÁв»Í¬·Ö±æÂʵÄ×ÓͼÏñ£¬²»Í¬·Ö±æÂʵÄ×ÓͼÏñ¶ÔÓ¦µÄƵÂÊÊDz»ÏàͬµÄ¡£¸ß·Ö±æÂÊ£¨¼´¸ßƵ£©×ÓͼÏñÉϴ󲿷ֵãµÄÊýÖµ¶¼½Ó½üÓÚ0£¬Ô½ÊÇ¸ßÆµÕâÖÖÏÖÏóÔ½Ã÷ÏÔ¡£¶ÔÒ»¸öͼÏñÀ´Ëµ£¬±íÏÖÒ»¸öͼÏñ×îÖ÷ÒªµÄ²¿·ÖÊÇµÍÆµ²¿·Ö£¬ËùÒÔÒ»¸ö×î¼òµ¥µÄѹËõ·½·¨ÊÇÀûÓÃС²¨·Ö½â£¬È¥µôͼÏñµÄ¸ßƵ²¿·Ö¶øÖ»±£ÁôµÍƵ²¿·Ö¡£Í¼ÏñѹËõ¿É°´ÈçϳÌÐò½øÐд¦Àí¡£

ÔÚmatlab½çÃæÖÐÊäÈëÈçÏ´úÂë load wbarb;

subplot(221);image(X);colormap(map) title('ԭʼͼÏñ'); axis square

disp('ѹËõǰͼÏñXµÄ´óС£º'); whos('X')

[c,s]=wavedec2(X,2,'bior3.7');%¶ÔͼÏñÓÃbior3.7С²¨½øÐÐ2²ãС²¨·Ö½â ca1=appcoef2(c,s,'bior3.7',1); ch1=detcoef2('h',c,s,1); cv1=detcoef2('v',c,s,1);

cd1=detcoef2('d',c,s,1); %ÌáȡС²¨·Ö½â½á¹¹ÖеÚÒ»²ãµÍƵϵÊýºÍ¸ßƵϵÊý a1=wrcoef2('a',c,s,'bior3.7',1); h1=wrcoef2('h',c,s,'bior3.7',1);

10

»´ÄÏʦ·¶Ñ§Ôº2012½ì±¾¿Æ±ÏÒµÂÛÎÄ

11

v1=wrcoef2('v',c,s,'bior3.7',1);

d1=wrcoef2('d',c,s,'bior3.7',1);%·Ö±ð¶Ô¸÷ƵÂʳɷֽøÐÐÖØ¹¹ c1=[a1,h1;v1,d1];

subplot(222);image(c1); %ÏÔʾ·Ö½âºó¸÷ƵÂʳɷֵÄÐÅÏ¢ axis square

title('·Ö½âºóµÍƵºÍ¸ßƵÐÅÏ¢'); %ÏÂÃæ½øÐÐͼÏñѹËõ´¦Àí

%±£ÁôС²¨·Ö½âµÚÒ»²ãµÍƵÐÅÏ¢£¬½øÐÐͼÏñµÄѹËõ %µÚÒ»²ãµÄµÍƵÐÅÏ¢¼´Îªca1£¬ÏÔʾµÚÒ»²ãµÄµÍƵÐÅÏ¢ %Ê×ÏȶԵÚÒ»²ãÐÅÏ¢½øÐÐÁ¿»¯±àÂë ca1=appcoef2(c,s,'bior3.7',1); ca1=wcodemat(ca1,440,'mat',0); ca1=0.5*ca1; %¸Ä±äͼÏñµÄ¸ß¶È

subplot(223);image(ca1);colormap(map); axis square

title('µÚÒ»´ÎѹËõ');

disp('µÚÒ»´ÎѹËõͼÏñµÄ´óСΪ£º'); whos('ca1')

%±£ÁôС²¨·Ö½âµÚ¶þ²ãµÍƵÐÅÏ¢£¬½øÐÐͼÏñµÄѹËõ£¬´ËʱѹËõ±È¸ü´ó %µÚ¶þ²ãµÄµÍƵÐÅÏ¢¼´Îªca2£¬ÏÔʾµÚ¶þ²ãµÄµÍƵÐÅÏ¢ ca2=appcoef2(c,s,'bior3.7',2);

ca2=wcodemat(ca2,440,'mat',0);%Ê×ÏȶԵڶþ²ãÐÅÏ¢½øÐÐÁ¿»¯±àÂë ca2=0.25*ca2;%¸Ä±äͼÏñµÄ¸ß¶È

subplot(224);image(ca2);colormap(map); axis square

title('µÚ¶þ´ÎѹËõ');

disp('µÚ¶þ´ÎѹËõͼÏñµÄ´óСΪ£º'); whos('ca2')

°´enter¼üÊä³ö½á¹ûÈçÏ£º

11

»ùÓÚMatlabµÄС²¨·ÖÎöÓëÉè¼Æ 12

ѹËõǰͼÏñXµÄ´óС£º

Name Size Bytes Class X 256x256 524288 double array Grand total is 65536 elements using 524288 bytes µÚÒ»´ÎѹËõͼÏñµÄ´óСΪ£º

Name Size Bytes Class ca1 135x135 145800 double array Grand total is 18225 elements using 145800 bytes µÚ¶þ´ÎѹËõͼÏñµÄ´óСΪ£º

Name Size Bytes Class ca2 75x75 45000 double array Grand total is 5625 elements using 45000 bytes

ͼ2 ͼÏñѹËõ

12

ÁªÏµ¿Í·þ£º779662525#qq.com(#Ìæ»»Îª@)