- Lecturer
- Hara Seiichiro
- Place
- Tue3-4(W831)
- Credits
- Lecture2 Exercise0 Experiment0
- Code
- 77037
- Syllabus updated
- 2010/9/20
- Lecture notes updated
- 2010/9/20
- Semester
- Fall Semester
Outline of lecture
險域ｸｬ繝ｻ諠蝣ｱ蜃ｦ逅讖溷勣縺ｮ逋ｺ驕斐↓莨ｴ縺ｼ悟､ｧ驥上ｮ險域ｸｬ繝繝ｼ繧ｿ縺悟ｮｹ譏薙↓蠕励ｉ繧後ｋ繧医≧縺ｫ縺ｪ縺｣縺ｦ縺繧九′ｼ後◎繧後ｉ縺ｮ荳ｭ縺ｫ蜷ｫ縺ｾ繧後ｋ諠蝣ｱ繧呈ｭ｣縺励￥隗｣驥医☆繧九％縺ｨ縺ｯ螳ｹ譏薙〒縺ｯ縺ｪ縺縲よ悽隰帷ｾｩ縺ｯｼ悟ｽ｢迥ｶ繝ｻ逕ｻ蜒上↑縺ｩ縺ｮ1谺｡蜈縺翫ｈ縺ｳ2谺｡蜈縺ｮ險域ｸｬ繝繝ｼ繧ｿ縺ｫ蜷ｫ縺ｾ繧後ｋ諠蝣ｱ繧呈歓蜃ｺ縺暦ｼ瑚ｧ｣驥医☆繧九◆繧√ｮ謨ｰ逅蜃ｦ逅縺ｫ縺､縺縺ｦ蛹諡ｬ逧縺九▽螳溽畑逧縺ｫ霑ｰ縺ｹ繧九
Recently, because of the improvements of measuring instruments and computers, enormous measurement data can be acquired very easily. However it is not easy to interpret the information contained in such data correctly. In this lecture, mathematical processing method of extracting and recognizing the information contained in 1D and 2D measured data are explained comprehensively and practically.
Purpose of lecture
險域ｸｬ讖溷勣縺ｨ諠蝣ｱ蜃ｦ逅讖溷勣縺ｮ逋ｺ驕斐↓莨ｴ縺ｼ悟､ｧ驥上ｮ險域ｸｬ繝繝ｼ繧ｿ縺悟ｮｹ譏薙↓蠕励ｉ繧後ｋ繧医≧縺ｫ縺ｪ縺｣縺ｦ縺繧九′ｼ後◎縺ｮ荳ｭ縺ｫ蜷ｫ縺ｾ繧後ｋ諠蝣ｱ繧呈ｭ｣縺励￥隗｣驥医☆繧九％縺ｨ縺ｯ螳ｹ譏薙〒縺ｯ縺ｪ縺ｼ取悽隰帷ｾｩ縺ｯｼ悟ｽ｢迥ｶｼ檎判蜒上ｒ蟋九ａ縺ｨ縺吶ｋ蛻昴ａ縺ｨ縺吶ｋ1谺｡蜈ｼ悟所縺ｳ2谺｡蜈縺ｮ險域ｸｬ繝繝ｼ繧ｿ縺ｫ蜷ｫ縺ｾ繧後ｋ諠蝣ｱ繧呈歓蜃ｺ縺暦ｼ瑚ｧ｣驥医☆繧九◆繧√ｮ謨ｰ逅蜃ｦ逅縺ｫ縺､縺縺ｦ蛹諡ｬ逧縺九▽螳溽畑逧縺ｫ霑ｰ縺ｹ繧具ｼ
Plan of lecture
險域ｸｬ繝繝ｼ繧ｿ縺ｮ蜿門ｾ玲婿豕
縲繝繝ｼ繧ｿ縺ｮ遞ｮ鬘橸ｼ瑚ｨ域ｸｬ縺ｮ謌ｦ逡･
謌仙縺ｮ蛻髮｢
繧｢繝翫Ο繧ｰ繝輔ぅ繝ｫ繧ｿ繝ｪ繝ｳ繧ｰｼ後ョ繧｣繧ｸ繧ｿ繝ｫ繝輔ぅ繝ｫ繧ｿ繝ｪ繝ｳ繧ｰｼ
縲繝輔ぅ繝ｫ繧ｿ繝舌Φ繧ｯｼ碁尅髻ｳ髯､蜴ｻｼ梧ｳ｢蠖｢縺ｲ縺壹∩縺ｮ髯､蜴ｻ
迚ｹ蠕ｴ縺ｮ謚ｽ蜃ｺ
縲繝輔ｼ繝ｪ繧ｨ螟画鋤ｼ後え繧ｧ繝ｼ繝悶Ξ繝繝亥､画鋤ｼ瑚ｪ蟾ｱ逶ｸ髢｢繝ｻ逶ｸ莠堤嶌髢｢ｼ
邨ｱ險育噪繝代Λ繝｡繝ｼ繧ｿ蛹厄ｼ後ヱ繝ｩ繝｡繝ｼ繧ｿ縺ｮ蝗槫ｸｰ蛻譫撰ｼ
繧ｹ繝壹け繝医Ν縺ｮ謗ｨ螳夲ｼFFTｼ梧ュ蝣ｱ繧ｨ繝ｳ繝医Ο繝斐ｼｼ会ｼ後ヵ繝ｩ繧ｯ繧ｿ繝ｫ隗｣譫
Textbook and reference
隰帷ｾｩ縺ｮ雉譁咏ｭ峨ｒ荳玖ｨ倥ｮ蝣ｴ謇縺ｫ逕ｨ諢上☆繧倶ｺ亥ｮ
http://www.mips.mei.titech.ac.jp/member/hara/lecture/keisoku-joho/
Evaluation
隰帷ｾｩ蜀螳ｹ縺ｫ髢｢縺励※縺ｮ譛邨ゅΞ繝昴ｼ繝医ｮ謠仙ｺ縺ｫ繧医ｊ隧穂ｾ｡縺吶ｋｼ
蜀螳ｹ縺ｯｼ瑚ｨ域ｸｬ繝繝ｼ繧ｿ縺ｫ蟇ｾ縺吶ｋ蜷遞ｮ縺ｮ蜃ｦ逅繝ｻ蛻譫舌ｒ隧ｦ縺ｿ繧九ｂ縺ｮ縺ｧ縺ゅｊｼ
隰帷ｾｩ蜀螳ｹ縺ｮ蝓ｺ遉守噪縺ｪ莠矩繧堤炊隗｣縺励※縺繧九％縺ｨｼ悟所縺ｳ
縺昴ｌ繧峨ｒ螳溘ョ繝ｼ繧ｿ縺ｫ蛻ｩ逕ｨ縺ｧ縺阪ｋ閭ｽ蜉帙′縺ゅｋ縺薙→縺鯉ｼ悟粋譬ｼ縺ｮ蝓ｺ貅悶〒縺ゅｋｼ
