{"product_id":"9781852331337","title":"Advanced Textbooks in Control and Signal Processing","description":"\u003ch1\u003eAdvanced Textbooks in Control and Signal Processing\u003c\/h1\u003e \u003ch2\u003eKamen, Edward W.; Su, Jonathan K.\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cdiv style=\"mso-element: para-border-div; border: none; border-bottom: solid windowtext 1.5pt; padding: 0cm 0cm 1.0pt 0cm; margin-left: 0cm; margin-right: -.05pt;\"\u003e\n\u003cp class=\"MsoNormal\" style=\"text-align: justify; border: none; mso-border-bottom-alt: solid windowtext 1.5pt; padding: 0cm; mso-padding-alt: 0cm 0cm 1.0pt 0cm;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-family: 'Arial',sans-serif; mso-bidi-font-family: 'Times New Roman';\"\u003eDeveloped from a set of lecture notes by Professor Kamen and since developed and refined by both authors, this introductory yet comprehensive study is a prime example in its field. There are examples in the book that use MATLAB\u003csup\u003e®\u003c\/sup\u003e and many of the problems discussed require the use of MATLAB\u003c\/span\u003e\u003csup\u003e\u003cspan lang=\"EN-US\" style=\"font-family: Symbol; mso-ascii-font-family: Arial; mso-hansi-font-family: Arial; mso-char-type: symbol; mso-symbol-font-family: Symbol;\"\u003e\u003cspan style=\"mso-char-type: symbol; mso-symbol-font-family: Symbol;\"\u003eâ\u003c\/span\u003e\u003c\/span\u003e\u003c\/sup\u003e\u003cspan lang=\"EN-US\" style=\"font-family: 'Arial',sans-serif; mso-bidi-font-family: 'Times New Roman';\"\u003e. The primary objective is to provide students with an extensive coverage of Wiener and Kalman filtering along with the development of least squares estimation, maximum likelihood estimation and maximum \u003cem style=\"mso-bidi-font-style: normal;\"\u003ea\u003c\/em\u003e \u003cem style=\"mso-bidi-font-style: normal;\"\u003eposteriori\u003c\/em\u003e estimation, based on discrete-time measurements. In the study of these estimation techniques there is a strong emphasis on how they interrelate and fit together to form a systematic development of optimal estimation. Also included in the text is a chapter on nonlinear filtering focusing on the extended Kalman filter and a recently-developed nonlinear estimator based on a block-form version of the Levenberg-Marquardt algorithm.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 1999-09-30\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9781852331337\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-1-4471-0417-9\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 380\u003c\/p\u003e ","brand":"Springer London","offers":[{"title":"Default Title","offer_id":47378435604620,"sku":"9781852331337","price":49.49,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781852331337.jpg?v=1775706304","url":"https:\/\/lateknightbooks.com\/products\/9781852331337","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}