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1 ƒuƒƒbƒN“K‰žM†ˆ—‚Ì‚½‚ß‚Ì’¼ŒðŽË‰eƒAƒ‹ƒSƒŠƒYƒ€‚ƃfƒBƒWƒ^ƒ‹’ÊMŒn‚ւ̉ž—p‚ÉŠÖ‚·‚錤‹† ’P •½¬‚Q”N‚RŒŽ “Œ‹žH‹Æ‘åŠw”ŽŽm˜_•¶ “K‰žM†ˆ—‚É‚¨‚¢‚Äd—v‚È–â‘è‚̈ê‚‚ł ‚éA“K‰žƒAƒ‹ƒSƒŠƒYƒ€‚ɂ‚¢‚Ä‚Í]—ˆ‚©‚瑽‚­‚ÌŒ¤‹†‚ªs‚í‚ê‚Ä‚¢‚éB–{˜_•ª‚ł̓uƒƒbƒNM†ˆ—‚É“K‚µ‚½ƒAƒ‹ƒSƒŠƒYƒ€‚𒼌ðŽË‰e‰‰ŽZ‚ÉŠî‚¢‚ÄŽZo‚µA‚»‚̈ê”Ê“I«Ž¿‚𖾂炩‚É‚µ‚Ä‚¢‚éB‚³‚ç‚ÉAƒfƒBƒWƒ^ƒ‹M†Œn‚ւ̉ž—p‚ðŽŽ‚ÝA’ñˆÄ‚µ‚½•ûŽ®‚ªŽÀ—pã—LŒø‚Å‚ ‚邱‚Æ‚ðŽ¦‚µ‚Ä‚¢‚éB
2 ‘Oˆ—‚ðŠÜ‚ÞƒmƒCƒYƒLƒƒƒ“ƒZƒ‰‚̃Aƒ‹ƒSƒŠƒYƒ€‚Æ‚»‚Ì«”\•]‰¿
‹¤ º˜a‚U‚P”N‚TŒŽ “dŽq’ÊMŠw‰ï˜_•¶Ž
J69-AA5APP.584-591
‹¤’˜ŽÒF‹v•Û“cAŒÃìA”‘qB
•ª’SF‹¤“¯Œ¤‹†‚ɂ‚«–{l’S“–•”•ª‚Í’Šo•s‰Â”\B
“à—eFŠ–]‚ÌM†‚ªŽG‰¹‚É‚æ‚Á‚Ä—‚³‚ê‚Ä‚¢‚éê‡AŠ–]‚ÌM†‚𓾂éŽè–@‚Æ‚µ‚Ä’m‚ç‚ê‚Ä‚¢‚é]—ˆ‚̃mƒCƒYƒLƒƒƒ“ƒZƒ‰‚Æ”äŠr‚µ‚ÄAŠe’i‚ÉSN”ä‚̉ü‘P‚ªŠú‘Ò‚Å‚«‚éV‚µ‚¢•ûŽ®‚ð’ñˆÄ‚µ‚Ä‚¢‚éB‚³‚ç‚ÉŒvŽZ‹@ƒVƒ~ƒ…ƒŒ[ƒVƒ‡ƒ“‚É‚æ‚èA‰ðÍŒ‹‰Ê‚̑Ó–«‚ðŒŸØ‚·‚é‚Æ‹¤‚É‚»‚Ì—LŒø«‚ɂ‚¢‚Ä‹c˜_‚µ‚Ä‚¢‚éB
3 ƒuƒƒbƒN“K‰žM†ˆ—‚É‚¨‚¯‚é’¼ŒðŽË‰eƒAƒ‹ƒSƒŠƒYƒ€‚Æ‚»‚Ì”«Ž¿ ‹¤ º˜a‚U‚R”N‚P‚QŒŽ “dŽqî•ñ’ÊMŠw‰ï˜_•¶Ž
J71-AA11APP.2018-2026
‹¤’˜ŽÒFŒÃìA‹v•Û“cA’ÒˆäB
•ª’SF‹¤“¯Œ¤‹†‚ɂ‚«–{l’S“–•”•ª‚Í’Šo•s‰Â”\B
“à—eFƒuƒƒbƒNƒAƒ‹ƒSƒŠƒYƒ€‚Í‚‘¬‚ÈŽû‘©“Á«‚𓾂邽‚ß‚ÉAŒ»Ý‚ƉߋŽ‚Ì‚¢‚­‚‚©‚ÌM†‚ð—˜—p‚µ‚Ä‚¢‚éB1‚‚̃uƒƒbƒN‚É‚¨‚¯‚éÅ“K‰ð‚ð‹‚ß‚é‚̂Ɉê”Ê‹ts—ñ‚ÌŠT”O‚ð—˜—p‚µA]—ˆ‚Ì•ûŽ®‚Æ”ä‚ׂ‘¬‚ÈŽû‘©“Á«‚ª“¾‚ç‚ê‚邱‚Æ‚ðŽ¦‚µ‚Ä‚¢‚éB
4 A Fast Block Adaptive Algorithm with conjugate Gradient Method for System Identification ‹¤ •½¬Œ³”N‚QŒŽ Proc.38th ISMM
International Conference,
Reno,Nevada,U.S.A,
Feb.1989,PP.208-211.
‹¤’˜ŽÒFŒÃìA‹v•Û“cA’ÒˆäB
•ª’SF‹¤“¯Œ¤‹†‚ɂ‚«–{l’S“–•”•ª’Šo•s‰Â”\B
“à—eFÅ“K‰»–â‘è‚É‚¨‚¢‚ÄA‹¤–ðŒù”z–@‚Í‹­—Í‚ÈŽè’i‚Æ‚µ‚Ä’m‚ç‚ê‚Ä‚¢‚éB‚±‚±‚Å‚ÍA‰‰ŽZ—Ê‚ÌŒyŒ¸‚ð}‚邽‚ßAƒuƒƒbƒNˆ—‚ÌŠT”O‚𓱓ü‚µAŽÀŽžŠÔˆ—‚Ö‚Ì“K‰ž‚ª‰Â”\‚Å‚ ‚邱‚Æ‚ðŽ¦‚µ‚Ä‚¢‚éB‚Ü‚½A’ÊMŒn‚ւ̉ž—p‚ª‰Â”\‚Å‚ ‚邱‚Æ‚ðŒŸØ‚µ‚Ä‚¢‚éB
5 The Orthogonal Projection Algorithm for Block Adaptive Signal Processing ‹¤ •½¬Œ³”N‚TŒŽ Proc.IEEE Int.Conf.
Acoustics,Speech,
and Signal@Processing,
Glasgow,Scotland,U.K,
May,1989,PP.1059-1062.
‹¤’˜ŽÒFŒÃìA‹v•Û“cA’ÒˆäB
•ª’SF‹¤“¯Œ¤‹†‚ɂ‚«–{l’S“–•”•ª’Šo•s‰Â”\B
“à—eF–{˜_•ª‚ÍAˆÊ‘Š‰ðÍŠw‚Ìd—v‚È’è—‚Å‚ ‚é’¼ŒðŽË‰e’藂ƃuƒƒbƒNˆ—‚ð‘g‚݇‚킹‚½ƒuƒƒbƒN’¼ŒðŽË‰eƒAƒ‹ƒSƒŠƒYƒ€‚ð’ñˆÄ‚µ‚Ä‚¢‚éB‚³‚ç‚ÉA‚±‚ÌŽè–@‚ª‰¹ºE‰æ‘œM†‚È‚Ç‘ŠŠÖ‚ð—L‚·‚éM†‚ð“ü—Í‚·‚é‚悤‚ÈꇂÉA“Á‚É—ÇD‚ÈŽû‘©“Á«‚ª“¾‚ç‚ê‚邱‚Æ‚ðŽ¦‚µ‚Ä‚¢‚éB
6 A New Block Adaptive Algorithm Based on Orthogonal Projection to Subspace and Its Performance ‹¤ •½¬Œ³”N‚VŒŽ Proc.1989 Int.Conf.
Circuits and Systems,
Nanjing,China,
July 1989,PP.402-405
‹¤’˜ŽÒFŒÃìA‹v•Û“cA’ÒˆäB
•ª’SF‹¤“¯Œ¤‹†‚ɂ‚«–{l’S“–•”•ª’Šo•s‰Â”\B
“à—eFƒuƒƒbƒN“K‰žƒAƒ‹ƒSƒŠƒYƒ€‚ɂ‚¢‚Ä‚Í]—ˆ‚©‚瑽”‚Ì•ûŽ®‚ª’ñˆÄ‚³‚ê‚Ä‚¢‚éB‚±‚±‚Å‚ÍA‚»‚ê‚ç‚ÌŽè–@‚̉ðÍ‚ðs‚¢AŽû‘©‘¬“x‚̉ü‘P‚ª‰Â”\‚Å‚ ‚邱‚Æ‚ð‰ðÍ“I‚ÉŽ¦‚µA‚»‚ÌŒ‹‰Ê‚ÉŠî‚­V‚µ‚¢ƒuƒƒbƒN“K‰žƒAƒ‹ƒSƒŠƒYƒ€‚ð’ñˆÄ‚µ‚Ä‚¢‚éB‚³‚ç‚ÉAƒVƒ~ƒ…ƒŒ[ƒVƒ‡ƒ“‚É‚æ‚èA—LŒø«‚ðŠm”F‚µ‚Ä‚¢‚éB
7 ‚‘¬‚ȃuƒƒbƒN“K‰žƒAƒ‹ƒSƒŠƒYƒ€‚Æ‚»‚Ì«”\•]‰¿ ‹¤ •½¬Œ³”N7ŒŽ “dŽqî•ñ’ÊMŠw‰ï˜_•¶Ž
J72-AA7APP.1069-1076
‹¤’˜ŽÒFŒÃìA‹v•Û“cA’ÒˆäB
•ª’SF‹¤“¯Œ¤‹†‚ɂ‚«–{l’S“–•”•ª’Šo•s‰Â”\B
“à—eFæ‚É’ñˆÄ‚µ‚½ƒuƒƒbƒN’¼ŒðŽË‰eƒAƒ‹ƒSƒŠƒYƒ€‚̓€[ƒAƒyƒ“ƒ[ƒYŒ^ˆê”Ê‹ts—ñ‚É‚æ‚Á‚Ä•\Œ»‚³‚ê‚éB–{˜_•ª‚Í‚±‚̈ê”Ê‹ts—ñ‚ðŒø—¦“I‚ÉŒvŽZ‚·‚éŽè–@‚ð’ñˆÄ‚µ‚Ä‚¢‚éB‚‚¢‚ÅAƒuƒƒbƒN’¼ŒðŽË‰eƒAƒ‹ƒSƒŠƒYƒ€‚ÌŽÀŽžŠÔˆ—‚Ö‚Ì“K‰ž‰Â”\«‚ɂ‚¢‚Ä‹c˜_‚µ‚Ä‚¢‚éB
8 A Fast Block Adaptive Algorithm with conjugate Gradient Method for System Identification ‹¤ •½¬Œ³”N7ŒŽ International Journal of
Control and Computers
Vol.17,No.3,PP.75-78
‹¤’˜ŽÒFŒÃìA‹v•Û“cA’ÒˆäB
•ª’SF‹¤“¯Œ¤‹†‚ɂ‚«–{l’S“–•”•ª’Šo•s‰Â”\B
“à—eF§ŒÀðŒ‚È‚µ‚Ì”ñüŒ`Å“K‰»–â‘è‚ÍAŠî–{“I‚ÉA‘ÎÌs—ñ‚ðŒW”s—ñ‚Æ‚·‚é˜A—§•û’öŽ®‚ð‰ð‚­‚±‚Æ‚É‹A’…‚·‚éB–{˜_•¶‚ÍAŒW”s—ñ‚ª”ñ³‘¥‚ÈꇂÉA‚±‚Ì•û’öŽ®‚̉ð‚ð‹‚ß‚éŽè–@‚Æ‚µ‚Ä‹¤–ðŒù”z–@‚ð“K—p‚µA‚»‚Ì‚Æ‚«‚Ì”«Ž¿‚ɂ‚¢‚Ä‹c˜_‚µ‚Ä‚¢‚éB‚‚¢‚ÅA–{•ûŽ®‚ªAŽÀۂ̃VƒXƒeƒ€§Œä‚É—LŒø‚Å‚ ‚邱‚Æ‚ðŠm”F‚µ‚Ä‚¢‚éB
9 ‚M—Š«‚ð—L‚·‚éV‚µ‚¢M†ˆ—ƒVƒXƒeƒ€‚Ì’ñˆÄ‚Æ‚»‚Ì«”\•]‰¿ ‹¤ •½¬‚Q”N‚PŒŽ “dŽqî•ñ’ÊMŠw‰ï˜_•¶Ž
J73-AA1APP.26-34
‹¤’˜ŽÒFŒÃìA‹v•Û“cA¼–{B
•ª’SF‹¤“¯Œ¤‹†‚ɂ‚«–{l’S“–•”•ª’Šo•s‰Â”\B
“à—eF–{˜_•ª‚ÍA]—ˆ‚Ì“`‘—ƒVƒXƒeƒ€‚Å‚Í’B¬‚Å‚«‚È‚©‚Á‚½A‚M—Š«‚ð—L‚·‚éM†ˆ—ƒVƒXƒeƒ€‚ð’ñˆÄ‚µ‚Ä‚¢‚éB–{ƒVƒXƒeƒ€‚ÍŽn‚ß‚É“`‘—˜H‚Ì“`’BŠÖ”‚ð„’肵A‚»‚ÌŒ‹‰Ê‚ð—p‚¢‚ÄM†ˆ—‚Ì„’è‚ðs‚Á‚Ä‚¢‚éB–{ƒVƒXƒeƒ€‚É‚æ‚èA‚”\—¦“`‘—•„†‚ð—p‚¢‚½Œë‚è—¦‚Ì’á‚¢’ÊMƒVƒXƒeƒ€‚Ì\’z‚ª‰Â”\‚Å‚ ‚邱‚Æ‚ªŽ¦‚³‚ꂽB
10 Generalization of the Orthogonal Projection Algorithm onto Multi-Dimensional Space and Its Executions ‹¤ •½¬‚Q”N‚TŒŽ Proc.IASTED Int.Symp.
Modelling,Simulation
and Optimization,
Montreal,Canada,
May 1990,PP.
‹¤’˜ŽÒF–Ø‘ºAŒÃìA‹v•Û“cB
•ª’SF‹¤“¯Œ¤‹†‚ɂ‚«–{l’S“–•”•ª’Šo•s‰Â”\B
“à—eF]—ˆ‚̃uƒƒbƒN“K‰žƒAƒ‹ƒSƒŠƒYƒ€‚ɃI[ƒo[ƒ‰ƒbƒv’·‚Æ‚¢‚¤ŠT”O‚𓱓ü‚µ‚½AV‚µ‚¢“K‰žƒAƒ‹ƒSƒŠƒYƒ€‚ð’ñˆÄ‚µ‚Ä‚¢‚éB–{Žè–@‚ÍAƒuƒƒbƒN’·‚ƃI[ƒo[ƒ‰ƒbƒv’·‚ðŽd—l‚ɉž‚¶‚Ä”CˆÓ‚ÉÝ’è‚Å‚«‚é“Á’¥‚ð—L‚µ‚Ä‚¢‚éB]‚Á‚ÄAƒvƒƒOƒ‰ƒ}ƒuƒ‹‚ȃA[ƒLƒeƒNƒ`ƒ…ƒA‚É‚æ‚èAƒn[ƒhƒEƒFƒA\¬‚ª‰Â”\‚È•ûŽ®‚Å‚ ‚邪‚䂦A”Ä—pDSP‚É‚æ‚éƒAƒ‹ƒSƒŠƒYƒ€ÝŒv‚ª—eˆÕ‚É‚È‚é‚ÆŠú‘Ò‚³‚ê‚Ä‚¢‚éB
11 A Fast Adaptive Algorithm Based on Orthogonal Projection onto Multi-Dimensional Subspace ‹¤ •½¬‚Q”N‚WŒŽ Proc.IEEE Sec.Int.Symp.on
Signal Processing
and Its Applications,
Gold Coast,Australia,
Aug.,1990,PP.303-306
‹¤’˜ŽÒFŒÃìA–Ø‘ºA‹v•Û“cB
•ª’SF‹¤“¯Œ¤‹†‚ɂ‚«–{l’S“–•”•ª’Šo•s‰Â”\B
“à—eFƒuƒƒbƒN’¼ŒðŽË‰eƒAƒ‹ƒSƒŠƒYƒ€‚ƃAƒ‹ƒtƒBƒ“ŽË‰eŽZo–@‚Ì“Á«‚𶂩‚µ‚½A‚‘¬‚È“K‰žƒAƒ‹ƒSƒŠƒYƒ€‚ð’ñˆÄ‚µ‚Ä‚¢‚éB‚Ü‚½A–{Žè–@‚Ìd—v‚È«Ž¿‚ðq‚×A‚»‚ê‚ç‚ɂ‚¢‚ÄÚׂȉðÍ‚ðs‚Á‚Ä‚¢‚éB‚³‚ç‚ÉA–{ƒAƒ‹ƒSƒŠƒYƒ€’†‚̃pƒ‰ƒ[ƒ^‚ð“K“–‚È’l‚É‘I‘ð‚·‚é‚±‚Æ‚É‚æ‚èA–{•ûŽ®‚ªƒRƒXƒgƒpƒtƒH[ƒ}ƒ“ƒX‚É—D‚ꂽŽè–@‚Å‚ ‚邱‚Ƃ𖾂炩‚É‚µ‚Ä‚¢‚éB
12 A New Communication Processing System with Lower Error-rate and High Reliability ‹¤ •½¬‚Q”N‚WŒŽ Proc.IEEE Sec.Int.Symp.on
Signal Processing
and Its Applications,
Gold Coast,Australia,
Aug.,1990,PP.728-731
‹¤’˜ŽÒFŒÃìA‹v•Û“cB
•ª’SF‹¤“¯Œ¤‹†‚ɂ‚«–{l’S“–•”•ª’Šo•s‰Â”\B
“à—eF]—ˆ‚ÌŽ©“®“™‰»Ší‚É“K‰žƒmƒCƒYƒLƒƒƒ“ƒZƒ‰‚ð‘g‚݇‚킹‚½V‚µ‚¢M†ˆ—ƒVƒXƒeƒ€‚ð’ñˆÄ‚µ‚Ä‚¢‚éB–{•ûŽ®‚ÍA–Ú“I‚̈قȂé“ñ‚‚̈—‚©‚ç‚È‚Á‚Ä‚¨‚èA‚±‚ê‚ç‚̈—‚É‚æ‚Á‚ÄAŒë‚è—¦‚ðŽx”z‚·‚é’áˆæŽÕ’f˜cA³Œ·”góŽG‰¹‚¨‚æ‚Ñ“`‘—˜H˜c‚𜋎‚·‚邱‚Æ‚ª‚Å‚«‚éB‚»‚ÌŒ‹‰ÊA]—ˆ‚Ì“™‰»Ší‚Æ”ä‚ׂđ啂Ɍë‚è—¦‚ðŒ¸­‚³‚¹‚邱‚Æ‚ª‚Å‚«A‚•iŽ¿‚ÈM†“`‘—‚ª‰Â”\‚Å‚ ‚邱‚Æ‚ðŽ¦‚µ‚Ä‚¢‚éB
13 ŠÏ‘ªŽG‰¹‚ðl—¶‚µ‚½ƒuƒƒbƒN’¼ŒðŽË‰eƒAƒ‹ƒSƒŠƒYƒ€‚Ì“Á«‰ü‘P‚ÉŠÖ‚·‚éˆêlŽ@ ‹¤ •½¬‚R”N‚PŒŽ “d‹CŠw‰ï˜_•¶Ž
Vol.111-CA1APP.8-16
‹¤’˜ŽÒFŒÃìA‹v•Û“cAŽÄ“cB
•ª’SF‹¤“¯Œ¤‹†‚ɂ‚«–{l’S“–•”•ª’Šo•s‰Â”\B
“à—eF’¼ŒðŽË‰eƒAƒ‹ƒSƒŠƒYƒ€‚ÌdôŠO—‚ɑ΂·‚é“®ì‰ðÍ‚ðs‚¢A‚»‚ÌŒ‹‰Ê‚ÉŠî‚¢‚½ƒƒoƒXƒg«‚ð—L‚·‚é“K‰žƒAƒ‹ƒSƒŠƒYƒ€‚ð’ñˆÄ‚µ‚Ä‚¢‚éB–{Žè–@‚ÍA“ü—ÍM†‚Ì«Ž¿‚Æ‚Í–³ŠÖŒW‚ɉ^—p‚·‚邱‚Æ‚ª‰Â”\‚Å‚ ‚èAŽÀƒVƒXƒeƒ€‚Ö‚Ì“K—p‚ª—LŒø‚Å‚ ‚邱‚Æ‚ðŒvŽZ‹@ƒVƒ~ƒ…ƒŒ[ƒVƒ‡ƒ“‚É‚æ‚莦‚µ‚Ä‚¢‚éB
14 A Robust Adaptive Algorithm for Block Signal Processing ‹¤ •½¬‚R”N‚UŒŽ Proc.IEEE Int.Symp.
on Circuit & Systems,
Singapore,
June,1991,PP.2818-2891
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•ª’SF‹¤“¯Œ¤‹†‚ɂ‚«–{l’S“–•”•ª’Šo•s‰Â”\B
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20 A Consideration on Block Orthogonal Projection Algorithm using Recursive UD Factorization Method ‹¤ •½¬‚T”N‚P‚OŒŽ Proc.IEEE Inter.Workshop
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23 A New Block Adaptive Algorithm Using Order Recursive UD Factorization Method ‹¤ •½¬‚U”N‚TŒŽ IEEE Inter.Symp
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24 A Consideration on Block LMS-Network Algorithm and Its Performance ‹¤ •½¬‚U”N‚P‚OŒŽ IEEE Inter.Workshop
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25 ˜A—§•û’öŽ®‚ÌV‚µ‚¢”½•œ‰ð–@‚Æ“K‰žM†‚ւ̉ž—p‚ÉŠÖ‚·‚élŽ@ ‹¤ •½¬‚V”N‚QŒŽ “dŽqî•ñ’ÊMŠw‰ï
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26 ’¼ŒðŽË‰es—ñ‚ð—p‚¢‚½‚‘¬‚ȃuƒƒbƒN’¼ŒðŽË‰eƒAƒ‹ƒSƒŠƒYƒ€ ‹¤ •½¬‚V”N‚RŒŽ “d‹CŠw‰ï
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27 A Consideration on the Modified Block LMS-Newton Algorithm and Its Performance ‹¤ •½¬‚W”N‚TŒŽ IEEE Inter.Symp on Circuits
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29 An Adaptive Algorithm Based on the Simplified Conjugate Gradient Method ‹¤ •½¬‚W”N‚P‚QŒŽ IEEE Inter.,Workshop
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“à—eF‹¤–ðŒù”z–@‚ð“K—p‚µ‚½ƒuƒƒbƒN“K‰žƒAƒ‹ƒSƒŠƒYƒ€‚ÍA‚‘¬‚ÈŽû‘©“Á«‚ð—L‚·‚邱‚Æ‚ª’m‚ç‚ê‚Ä‚¢‚邪AŠÏ‘ªŽG‰¹‚ɑ΂µ‚Ä“®ì‚ª•sˆÀ’è‚ɂȂ錇“_‚ª‚ ‚Á‚½B–{˜_•¶‚Å‚ÍA‘Š‘±‚­2ŒÂ‚ÌC³ƒxƒNƒgƒ‹‚Ì‚Ý‚É‹¤–ð«‚ðŽ‚½‚¹‚邱‚Æ‚Åã‹L‚ÌŒ‡“_‚ð‰ü‘P‚·‚éƒAƒ‹ƒSƒŠƒYƒ€‚ð’ñˆÄ‚µ‚Ä‚¢‚éB‚»‚ÌŒ‹‰ÊA]—ˆ–@‚Æ”äŠr‚µ‚Ä”\ƒfƒVƒxƒ‹’ö“x‚Ì“Á«‰ü‘P‚ªŽÀŒ»‚³‚ê‚Ä‚¢‚éB
30 “K‰ž“™‰»Ší‚Ì“®Œüiƒuƒ‰ƒCƒ“ƒh“™‰»Ší‚ð’†S‚Éj ‹¤ •½¬‚P‚O”N‚TŒŽ “dŽqî•ñ’ÊMŠw‰ïŽA
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“à—eFÅV‹ZpŠvV‚ª’˜‚µ‚¢ˆÚ“®‘Ì’ÊM‚É‚¨‚¢‚ÄAƒuƒ‰ƒCƒ“ƒhM†ˆ—‚Ìd—v«‚ª”FŽ¯‚³‚êŽn‚ß‚Ä‚¢‚éB–{˜_•¶‚Å‚ÍA]—ˆ‚̃uƒ‰ƒCƒ“ƒh•ûŽ®‚Ì«”\•]‰¿‚ÌŒ‹‰Ê‚ÉŠî‚¢‚ÄAŠù‘¶‚Ì•ûŽ®‚Ƃ͈قȂéŠÏ“_‚©‚çlŽ@‚ðs‚¢AM†‹óŠÔ‚ÌŠT”O‚ð—p‚¢‚½V‚µ‚¢ƒuƒ‰ƒCƒ“ƒh“™‰»ƒAƒ‹ƒSƒŠƒYƒ€‚ɂ‚¢‚Ä‹c˜_‚µ‚Ä‚¢‚éB;
31 ‹¤–ðŒù”z–@‚ÌŠÈ—ª‰»‚ðl—¶‚µ‚½ƒuƒƒbƒN“K‰žƒAƒ‹ƒSƒŠƒYƒ€‚Æ‚»‚Ì«”\‰ðÍ ‹¤ •½¬‚X”N‚XŒŽ ;“dŽqî•ñ’ÊMŠw‰ï ˜_•¶Ž(A)A
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“à—eF‹¤–ðŒù”z–@‚ð“K—p‚µ‚½“K‰žƒAƒ‹ƒSƒŠƒYƒ€‚Í‚‘¬‚ÈŽû‘©“Á«‚ð—L‚µ‚Ä‚¢‚邪AŠÏ‘ªŽG‰¹‚̉e‹¿‚É‚æ‚脒踓x‚ª—ò‰»‚·‚邱‚Æ‚ª’m‚ç‚ê‚Ä‚¢‚éB–{˜_•¶‚Å‚ÍAC³•ûŒüƒxƒNƒgƒ‹‚Ì‹¤–ð«‚ɧŒÀ‚ðÝ‚¯‚邱‚Æ‚É‚æ‚Á‚ÄAã‹L‚ÌŒ‡“_‚ð‰ü‘P‚·‚éƒAƒ‹ƒSƒŠƒYƒ€‚ð’ñˆÄ‚µ‚Ä‚¢‚éB‚³‚ç‚ÉAŒë·‰ðÍ‚Æ”’l—á‚É‚æ‚èA–{Žè–@‚Ì—LŒø«‚ðŒŸØ‚µ‚Ä‚¢‚éB;
32 ’€ŽŸUD•ª‰ð‚É‚æ‚éƒuƒƒbƒN’¼ŒðŽË‰eƒAƒ‹ƒSƒŠƒYƒ€ ‹¤ •½¬‚X”N‚P‚PŒŽ ;“dŽqî•ñ’ÊMŠw‰ï ˜_•¶Ž(A)A
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33 A Consideration on the Computational Requirements of Blind Equalization ‹¤ •½¬‚P‚O”N‚TŒŽ IEEE Inter.Symp.
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34 Œù”z–@‚ÉŠî‚­‚‘¬‚È“K‰žƒAƒ‹ƒSƒŠƒYƒ€‚É‚¨‚¯‚éƒf[ƒ^‰^—p–@‚̉ü—Ç‚ÉŠÖ‚·‚élŽ@ ‹¤ •½¬‚P‚O”N‚XŒŽ ;“dŽqî•ñ’ÊMŠw‰ï ˜_•¶Ž(A)A
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35 ŠÏ‘ªŽG‰¹‚ɃƒoƒXƒg‚ÈŒù”z–@‚ÉŠî‚­“K‰žƒAƒ‹ƒSƒŠƒYƒ€ ‹¤ •½¬‚P‚P”N‚VŒŽ ;“dŽqî•ñ’ÊMŠw‰ï ˜_•¶Ž(A)A
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36 ŠÏ‘ªŽG‰¹‚ɑ΂µƒƒoƒXƒg«‚ðŽÀŒ»‚·‚é•ûŒüƒxƒNƒgƒ‹•ªŠ„•½‹Ï‰»‚É‚æ‚éƒuƒƒbƒN“K‰žƒAƒ‹ƒSƒŠƒYƒ€ ‹¤ •½¬‚P‚P”N‚UŒŽ ;“dŽqî•ñ’ÊMŠw‰ï ˜_•¶Ž(A)A
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40 €Å“KƒXƒeƒbƒvƒQƒCƒ“‚ð—p‚¢‚½Block-LMS@NewtonƒAƒ‹ƒSƒŠƒYƒ€ ‹¤ •½¬‚P‚P”N‚WŒŽ “d‹CŠw‰ï˜_•¶ŽiC)A
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•ª’SF‹¤“¯Œ¤‹†‚ɂ‚«–{l’S“–•”•ª’Šo•s‰Â”\B
“à—eFƒuƒ‰ƒCƒ“ƒh„’è–@‚É‚¨‚¢‚Ä“ñŽŸ“Œv—Ê‚Ì‚Ý‚ð—p‚¢‚½Žè–@‚ª—LŒø‚Å‚ ‚邱‚Æ‚ª’m‚ç‚ê‚Ä‚¢‚éB–{˜_•¶‚Å‚ÍA“üo—ÍŠÖŒW‚ªSIMOƒ‚ƒfƒ‹‚Å—^‚¦‚ç‚ê‚éƒuƒ‰ƒCƒ“ƒh„’è–â‘è‚ɑ΂µA‚»‚Ì\‘¢‚É’…–Ú‚µ‚Ä‚±‚ê‚ðIIRŒ^ƒVƒXƒeƒ€ƒpƒ‰ƒ[ƒ^„’è–â‘è‚É‹A’…‚³‚¹‚é•ûŽ®‚ɂ‚¢‚Ä‹c˜_‚µ‚Ä‚¢‚éB–{Žè–@‚ÍA‘—MM†‚ÌŽí—Þ‚ð–â‚킸AŽóMM†‚Ì‚Ý‚©‚ç“`‘—˜HƒCƒ“ƒpƒ‹ƒX‰ž“š„’肪‰Â”\‚Å‚ ‚é‚Æ‚¢‚¤—˜“_‚ð—L‚µ‚Ä‚¢‚éB;
42 A Proposal of the New Blind Equalization Algorithm Using the Minimum Entropy Method ‹¤ •½¬‚P‚Q”N‚P‚PŒŽ Inter.Symp.on Inf.
Theory and Its Applications
Hawaii,U.S.A.
;‹¤’˜ŽÒF¼–{AŒÃìB
•ª’SF‹¤“¯Œ¤‹†‚ɂ‚«–{l’S“–•”•ª’Šo•s‰Â”\B
“à—eFŠm—¦•ª•z‡“¯–@‚ÉŠî‚­ƒuƒ‰ƒCƒ“ƒh“™‰»‚Å‚ÍA‘—MM†‚ÌŠm—§–§“xŠÖ”‚Ì„’踓x‚ªd—v‚Æ‚È‚éB–{˜_•¶‚Å‚ÍAƒKƒEƒVƒƒƒ“Œn‚Ì–§“xŠÖ”‚ð‰¼’è‚µA‚»‚ÌŽŸ”‚ðŽóMM†‚©‚ç„’è‚·‚邱‚Æ‚É‚æ‚Á‚ÄA‚‘¬‚È“™‰»–@‚ðŽÀŒ»‚µ‚Ä‚¢‚éB‚»‚ÌŒ‹‰ÊA–{Žè–@‚Í]—ˆ–@‚ð”äŠr‚µ‚Ä‚‘¬‚ÈŽû‘©“Á«‚Æ‚M—Š«‚ð—L‚·‚邱‚Æ‚ªŠm”F‚³‚ꂽB;
43 A Multi-cannel Echo Canceling Algorithm Using All Input Signals ‹¤ •½¬‚P‚P”N‚XŒŽ Proc.IEEE Region 10
Conference TENCON'99
Vol.1,PP.642-645,Sep.1999.
;‹¤’˜ŽÒF–Ø‹–AŒÃìA¼B
•ª’SF‹¤“¯Œ¤‹†‚ɂ‚«–{l’S“–•”•ª’Šo•s‰Â”\B
“à—eFƒeƒŒƒr‰ï‹cƒVƒXƒeƒ€‚É‚¨‚¯‚éƒGƒR[ƒLƒƒƒ“ƒZƒ‰ƒAƒ‹ƒSƒŠƒYƒ€‚ɂ‚¢‚Ä‹c˜_‚µ‚Ä‚¢‚éB–{Žè–@‚ÍAƒLƒƒƒ“ƒZƒ‰‚ÌŒW”XV‚ɑ΂µ‚ÄA‘S‚Ẵ`ƒƒƒ“ƒlƒ‹‚Ì“ü—ÍM†‚ð—p‚¢‚Ä‚¢‚邽‚ßA]—ˆ‚Ì•ûŽ®‚Æ”äŠr‚µ‚Ä—ÇD‚ȃGƒR[‘ÅÁ‚µ“Á«‚ªŽÀŒ»‚Å‚«‚éB‚³‚ç‚ÉA–{Žè–@‚͎ˉe‰‰ŽZ‚ÉŠî‘b‚ð’u‚¢‚Ä‚¢‚邽‚ßA—LF“x‚Ì‹­‚¢“ü—ÍM†‚ɑ΂µ‚Ä‚à‚‘¬‚ÈŽû‘©‘¬“x‚ª“¾‚ç‚ê‚é‚Æ‚¢‚¤“Á’¥‚ð—L‚µ‚Ä‚¢‚éB;
44 A Robust Multi-Channel Echo Canceling Algorithm for the Additive Noise ‹¤ •½¬‚P‚Q”N‚P‚PŒŽ Inter.Symp.on Inf.
Theory and Its Applications
Hawaii,U.S.A.
;‹¤’˜ŽÒF–Ø‹–AŒÃìAXB
•ª’SF‹¤“¯Œ¤‹†‚ɂ‚«–{l’S“–•”•ª’Šo•s‰Â”\B
“à—eF–{˜_•¶‚Å‚ÍAã‹L˜_•¶43‚Å’ñˆÄ‚³‚ꂽƒ}ƒ‹ƒ`ƒ`ƒƒƒ“ƒlƒ‹ƒGƒR[ƒLƒƒƒ“ƒZƒ‰ƒVƒXƒeƒ€‚É‚¨‚¢‚ÄAŠÂ‹«ŽG‰¹‚ª–³Ž‹‚Å‚«‚È‚¢ó‹µ‚Å‚àA—ÇD‚ȃGƒR[‘ÅÁ‚µ“Á«‚ª“¾‚ç‚ê‚éƒGƒR[ƒLƒƒƒ“ƒZƒŠƒ“ƒOƒAƒ‹ƒSƒŠƒYƒ€‚ɂ‚¢‚Ä‹c˜_‚µ‚Ä‚¢‚éB–{Žè–@‚ÍAƒGƒR[ƒLƒƒƒ“ƒZƒ‰ŒW”XV‚ÉÛ‚µ‚ÄŠ–]‚̃GƒR[M†‚Æ‘›‰¹‚ª–³‘ŠŠÖ‚Å‚ ‚邱‚Æ‚É’…–Ú‚µ‚ÄAƒLƒƒƒ“ƒZƒ‰‚̧Œä‚ðs‚Á‚Ä‚¢‚é“_‚É“Á’¥‚ª‚ ‚éB;
45 A Consideration on the Blind Estimation Using Orthogonal Direct Sum Decomposition of Received Signal Space Based on Subspace Method ‹¤ •½¬‚P‚Q”N‚P‚OŒŽ IEEE Ninth DSP Workshop 2000,
USA
;‹¤’˜ŽÒF“cç³AŒÃìA’ÒˆäB
•ª’SF‹¤“¯Œ¤‹†‚ɂ‚«–{l’S“–•”•ª’Šo•s‰Â”\B
“à—eF–{˜_•¶‚Å‚ÍA“ñŽŸ“Œv—Ê‚ÉŠî‚¢‚½ƒuƒ‰ƒCƒ“ƒhƒ`ƒƒƒlƒ‹„’è–@‚ɂ‚¢‚Ä‹c˜_‚µ‚Ä‚¢‚éB–{Žè–@‚ÍAŽóMM†‚ð‘—MM†ƒ|[ƒgƒŒ[ƒg‚Ì2”{‘¬‚ŃTƒ“ƒvƒŠƒ“ƒO‚·‚éƒ_ƒuƒ‹ƒTƒ“ƒvƒŠƒ“ƒO–@‚ÉŠî‚¢‚Ä‚¨‚èA]—ˆ–@‚Å–â‘è“_‚Æ‚È‚Á‚Ä‚¢‚½‰‰ŽZ—Ê‚ðŒyŒ¸‚¹‚µ‚ß‚é‚à‚Ì‚Å‚ ‚éB–{Žè–@‚É‚æ‚ê‚ÎA]—ˆ–@‚Æ”äŠr‚µ‚ĉ‰ŽZ—Ê‚ð–ñ75ƒp[ƒZƒ“ƒgß–ñ‚Å‚«‚邱‚Æ‚ªŠm”F‚³‚ꂽB;
46 New Blind Algorithm Using the Minimum Entropy Method ‹¤ •½¬‚P‚R”N‚TŒŽ IEEE Inter.Symp.
Circuits and System,
Sydney,Australia
;‹¤’˜ŽÒF¼–{A“n•ÓAŒÃìB
•ª’SF‹¤“¯Œ¤‹†‚ɂ‚«–{l’S“–•”•ª’Šo•s‰Â”\B
“à—eF–{˜_•¶‚Å‚ÍAƒGƒ“ƒgƒƒs[Ŭ‰»–@‚ÉŠî‚­ƒuƒ‰ƒCƒ“ƒh“™‰»ƒAƒ‹ƒSƒŠƒYƒ€‚ð’ñˆÄ‚µ‚Ä‚¢‚éB‚±‚ÌŽí‚Ì“™‰»–â‘è‚Å‚ÍA•ª•z‡“¯–@‚É‚»‚ÌŠî‘b‚ð’u‚­Œ¤‹†‚ª·‚ñ‚Å‚ ‚邪AŽû‘©‘¬“x‚¨‚æ‚Ñ“™‰»¸“x‚ɉü‘P‚Ì—]’n‚ªŒ©‚ç‚ê‚éB–{•ûŽ®‚Å‚ÍA“™‰»‚Ì‚½‚ß‚Ì•]‰¿ŠÖ”‚𓙉»ó‘Ԃɉž‚¶‚Äݒ肵‚Ä‚¢‚邽‚ßA]—ˆ–@‚Æ”äŠr‚µ‚ÄM—Š«‚Ì‚ ‚éƒf[ƒ^“`‘—‚ª‰Â”\‚Æ‚È‚Á‚Ä‚¢‚éB;
47 A Consideration on the Blind Estimation of SIDO System Using Orthogonal Direct Sum Decomposition
‹¤ •½¬‚P‚R”N‚TŒŽ IEEE Inter.Conf.
Acoustic Speech
and Signal Processing,
Salt-lake City USA
;‹¤’˜ŽÒF“cç³AŒÃìA’ÒˆäB
•ª’SF‹¤“¯Œ¤‹†‚ɂ‚«–{l’S“–•”•ª’Šo•s‰Â”\B
“à—eF–{˜_•¶‚Å‚ÍA’Pˆê“üo—Í“`‘—Ž‹ƒVƒXƒeƒ€‚̃Cƒ“ƒpƒ‹ƒX‰ž“š‚ðŽóMM†‚Ì‚Ý‚©‚ç„’è‚·‚é•û–@‚ɂ‚¢‚Ä‹c˜_‚µ‚Ä‚¢‚éB–{•ûŽ®‚ÍAŽóMM†‹óŠÔ‚ð‰ñüŽG‰¹‚ðŠÜ‚ÞM†‹óŠÔ‚ÆŠÜ‚Ü‚È‚¢M†‹óŠÔ‚É•ª—£‚·‚邱‚Æ‚É‚æ‚èA„’è‚ðs‚Á‚Ä‚¢‚éB“Á‚ÉAŽóMM†‚ÌŽ©ŒÈ‘ŠŠÖs—ñ‚̌ŗL’l‚ð‹‚߂邱‚Æ‚È‚­„’肪‰Â”\‚È‚½‚ßA]—ˆ–@‚Æ”äŠr‚µ‚Ä­‚È‚¢‰‰ŽZ—ʂŃCƒ“ƒpƒ‹ƒX‰ž“š‚ª„’è‚Å‚«‚é‚Æ‚¢‚¤—˜“_‚ª‚ ‚éB;
48 A Recurrent RBF Network for Non-Linear Cannel ‹¤ •½¬‚P‚R”N‚TŒŽ IEEE Inter.Conf.
Acoustic Speech
and Signal Processing,
Salt-lake City USA
;‹¤’˜ŽÒFŽO‘ºAŒÃìB
•ª’SF‹¤“¯Œ¤‹†‚ɂ‚«–{l’S“–•”•ª’Šo•s‰Â”\B
“à—eF–{˜_•¶‚Å‚ÍA”ñüŒ`«‚ð—L‚·‚é“`‘—˜H‚ð—p‚¢‚½ƒf[ƒ^’ÊM‚Ì‚½‚ß‚Ì“–‰»–@‚ɂ‚¢‚Ę_‚¶‚Ä‚¢‚éB–{•ûŽ®‚ÍA”ñüŒ`“™‰»Ší‚Æ‚µ‚ÄRBFƒlƒbƒgƒ[ƒNA“Á‚ɃŠƒJƒŒƒ“ƒgŒ^ƒlƒbƒgƒ[ƒN‚ð—p‚¢‚½“™‰»Ší‚ÉŠÖ‚µ‚Ä‹c˜_‚µ‚Ä‚¢‚éB]—ˆ‚̃tƒB[ƒhƒtƒHƒ[ƒhŒ^ƒlƒbƒgƒ[ƒN‚Æ”äŠr‚·‚é‚ÆA“¯“™‚Ì“™‰»¸“x‚𓾂邽‚ß‚É­‚È‚¢‰‰ŽZ—Ê‚ÅŽÀŒ»‚Å‚«A‚©‚ÂAƒgƒŒ[ƒjƒ“ƒOŠúŠÔ‚ð’Zk‚·‚邱‚Æ‚ª‰Â”\‚ƂȂ邽‚ß—DˆÊ«‚ªŠú‘Ò‚Å‚«‚éB;
49 A Proposal of an Adaptive Algorithm Based on Selected Direction Vectors ‹¤ •½¬‚P‚R”N‚VŒŽ IECIE Inter.Tec.Conf.
on Circuit and Systems,
Tokushima,Japan,PP.957-960
;‹¤’˜ŽÒF‰œŽRA‹g–{AŒÃìB
•ª’SF‹¤“¯Œ¤‹†‚ɂ‚«–{l’S“–•”•ª’Šo•s‰Â”\B
“à—eF–{˜_•¶‚Å‚ÍA•¡”‚Ì“ü—̓xƒNƒgƒ‹‚ð—p‚¢‚½“K‰žƒAƒ‹ƒSƒŠƒYƒ€‚ɂ‚¢‚Ä‹c˜_‚µ‚Ä‚¢‚éB–{•ûŽ®‚ÍAŒ»Žž‚Å‚ÌC³•ûŒü‚ð‰ß‹Ž‚ÌC³•ûŒüƒxƒNƒgƒ‹‚ª’£‚é•”•ª‹óŠÔ‚Ì’¼Œð•â‹óŠÔ‚©‚ç‘I‘ð‚µ‚Ä‚¢‚é“_‚É“Á’¥‚ð—L‚µ‚Ä‚¢‚éB‚³‚ç‚ÉA‘I‘ð‚·‚éŠî€‚Æ‚µ‚Ď嬕ª•ªÍ‚ð—˜—p‚µ‚Ä‚¨‚èA‚»‚ÌŒ‹‰Ê—LŒø‚ÈC³•ûŒüƒxƒNƒgƒ‹‚ðŒˆ’è‚Å‚«‚éB‚Ü‚½AƒVƒ~ƒ…ƒŒ[ƒVƒ‡ƒ“‚É‚æ‚è–{•ûŽ®‚Ì—LŒø«‚ðŠm”F‚µ‚Ä‚¢‚éB;
50 A Stereophonic Echo Canceling Algorithm for Correct Echo-Path Estimation ‹¤ •½¬‚P‚R”N‚WŒŽ IEEE Pacific Rim Conf.
on Commni.Comp.
and Signal Processing.
Victoria,Canada
;‹¤’˜ŽÒF–Ø‹–AŒÃìAXB
•ª’SF‹¤“¯Œ¤‹†‚ɂ‚«–{l’S“–•”•ª’Šo•s‰Â”\B
“à—eF–{˜_•¶‚Å‚ÍA2ƒ`ƒƒƒ“ƒlƒ‹‰¹‹¿ƒGƒR[ƒLƒƒƒ“ƒZƒ‰ƒAƒ‹ƒSƒŠƒYƒ€‚ÉŠÖ‚µ‚Ä‹c˜_‚µ‚Ä‚¢‚éB]—ˆ‚É‚à‚±‚ÌŽí‚ÌŽè–@‚Í’ñˆÄ‚³‚ê‚Ä‚¢‚邪AŠeƒ`ƒƒƒ“ƒlƒ‹‚ɑΉž‚·‚éƒGƒR[ƒpƒX‚̃Cƒ“ƒpƒ‹ƒX‰ž“š„’è‚ÉÛ‚µAŒW”•s’è«‚Ì–â‘肪Žc‚Á‚Ä‚¢‚éB–{•ûŽ®‚ÍAƒCƒ“ƒpƒ‹ƒX‰ž“š‚𕪊„‚É‚µ‚½ã‚Å„’è‚ðs‚Á‚Ä‚¢‚邽‚ßAã‹L‚̂悤‚È–â‘肪¶‚¶‚È‚¢B‚µ‚½‚ª‚Á‚ÄAƒGƒR[ƒpƒX•Ï“®‚ɂ‚¢‚Ä‚à’Ç]‚Å‚«‚é—˜“_‚ð—L‚µ‚Ä‚¢‚éB;
51 Å“K‚È•ûŒüƒxƒNƒgƒ‹’Tõ‚Ì‚½‚߂̈êlŽ@ ‹¤ •½¬‚P‚R”N‚P‚PŒŽ ;“dŽqî•ñ’ÊMŠw‰ï ˜_•¶Ž(A)
‚P‚PŒŽ†ŒfÚ—\’è;
;‹¤’˜ŽÒF‹g–{AŒÃìA¬âB
•ª’SF‹¤“¯Œ¤‹†‚ɂ‚«–{l’S“–•”•ª’Šo•s‰Â”\B
“à—eF–{˜_•¶‚Å‚ÍA—LF“ü—ÍM†‚ɑ΂µ‚Ä‚à‚‘¬‚ÈŽû‘©‘¬“x‚ªŠú‘Ò‚Å‚«‚é“K‰žƒAƒ‹ƒSƒŠƒYƒ€‚ð’ñˆÄ‚µ‚Ä‚¢‚éB–{•ûŽ®‚ÍAC³•ûŒüƒxƒNƒgƒ‹¶¬‚ÌŠî‘bƒf[ƒ^‚Æ‚È‚é“ü—ÍŽ©ŒÈ‘ŠŠÖs—ñ‚ɑ΂µ‚ÄAPreconditioners—ñ‚ð’è‹`‚µA‚³‚ç‚É‚»‚Ì‹ts—ñ‚ð‚‘¬‚ɉ‰ŽZ‚·‚éŽè–@‚Å‚ ‚邽‚ßA”äŠr“I­‚È‚¢‰‰ŽZ—Ê‚Å‚‘¬‚ÈŽû‘©‘¬“x‚𓾂邱‚Æ‚ª‰Â”\‚Æ‚È‚éB‚Ü‚½AƒVƒ~ƒ…ƒŒ[ƒVƒ‡ƒ“‚É‚æ‚è–{•ûŽ®‚Ì—LŒø«‚ðŠm”F‚µ‚Ä‚¢‚éB;
52 ƒGƒ“ƒgƒƒs[Ŭ–@‚ð—p‚¢‚½ƒuƒ‰ƒCƒ“ƒh“™‰»ƒAƒ‹ƒSƒŠƒYƒ€‚ÌŽÀŒ»–@‚ÉŠÖ‚·‚élŽ@ ‹¤ @ “d‹CŠw‰ï˜_•¶ŽiC)AðŒ•tŒfÚ ;‹¤’˜ŽÒF¼–{AŒÃìB
•ª’SF‹¤“¯Œ¤‹†‚ɂ‚«–{l’S“–•”•ª’Šo•s‰Â”\B
“à—eF–{˜_•¶‚Å‚ÍA“K‰žƒuƒ‰ƒCƒ“ƒh“™‰»ƒAƒ‹ƒSƒŠƒYƒ€‚ɂ‚¢‚Ä‹c˜_‚µ‚Ä‚¢‚éB]—ˆ‚æ‚èƒuƒ‰ƒCƒ“ƒh“™‰»–â‘è‚Å‚Í•]‰¿ŠÖ”‚𓙉»ó‘Ԃɉž‚¶‚ĉ•ς³‚¹‚邱‚Æ‚É‚æ‚è‚‘¬‚È“™‰»‚ª‰Â”\‚Æ‚³‚ê‚Ä‚¢‚½B–{•ûŽ®‚Å‚ÍA‚»‚±‚É’…–Ú‚µ‚ÄŽóMM†‚Ìë‚è“x‚©‚ç‚»‚ÌŠm—¦–§“xŠÖ”‚ðݒ肵A‚»‚ê‚ÌŠî‚­ƒAƒ‹ƒSƒŠƒYƒ€‚ð’ñˆÄ‚µ‚Ä‚¢‚éB‚Ü‚½AƒVƒ~ƒ…ƒŒ[ƒVƒ‡ƒ“‚É‚æ‚èA–{•ûŽ®‚Ì—LŒø«‚ðŒŸØ‚µ‚Ä‚¢‚éB;
53 On the Design of the Fractionary Spaced Antenna Array for DOA
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2 “K‰žM†ˆ—‹Zp‚ÌŽÀÛ ‹¤ Ž·•M’† ƒRƒƒiŽÐ "‹¤’˜ŽÒF‹v•Û“cAŒÃìB
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