{"product_id":"9783031974083","title":"Fundamentals of Stochastic Signals, Systems and Estimation Theory: With Worked Examples","description":"\u003ch1\u003eFundamentals of Stochastic Signals, Systems and Estimation Theory: With Worked Examples\u003c\/h1\u003e \u003ch2\u003eKovačević, Branko; Đurović, Željko; Banjac, Zoran\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\"\u003e\u003cem\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 14.0pt; line-height: 115%; mso-ansi-language: EN-US;\"\u003eFundamentals of Stochastic Signals, Systems and Estimation Theory\u003c\/span\u003e\u003c\/em\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 14.0pt; line-height: 115%; mso-ansi-language: EN-US;\"\u003e (third edition) explains the concepts underlying modeling and analysis of stochastic signals and linear stochastic systems. Two popular stochastic models: the polynomial (or transfer-function) model and the state-space model, are employed in schemes that lead to the successful estimation of unknown signal-\/system-model parameters or states. The third edition is a substantially expanded treatment that benefits from new work performed in nonlinear robust estimation and features:\u003c\/span\u003e\u003c\/p\u003e\n\u003cul style=\"margin-top: 0cm;\" type=\"disc\"\u003e\n\u003cli class=\"MsoNormal\" style=\"mso-list: l0 level1 lfo1; tab-stops: list 36.0pt;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 14.0pt; line-height: 115%; mso-ansi-language: EN-US;\"\u003enew chapters related to the use of nonlinear filtering as an alternative to extended and linearized Kalman filtering and\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"MsoNormal\" style=\"mso-list: l0 level1 lfo1; tab-stops: list 36.0pt;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 14.0pt; line-height: 115%; mso-ansi-language: EN-US;\"\u003enovel practical examples related to video-based object tracking and radar-based target tracking for following maneuvers.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 14.0pt; line-height: 115%; mso-ansi-language: EN-US;\"\u003eMany examples are used to illustrate key concepts in an intuitive fashion and readers are shown how to write software implementations of estimators. Experiments and simulations are performed using MATLAB® to help readers to understand the main theoretical concepts.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 14.0pt; line-height: 115%; mso-ansi-language: EN-US;\"\u003eThe book will help professionals and students studying high-order dynamic systems with random inputs. It will be of use to readers working with or studying problems in wireless communications, networking, electronics, photonics, power systems, robotics and mechatronics.\u003c\/span\u003e\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2026-02-17\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9783031974083\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-031-98090-9\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 701\u003c\/p\u003e ","brand":"Springer Nature Switzerland","offers":[{"title":"Default Title","offer_id":44309918351500,"sku":"9783031974083","price":143.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783031974083.jpg?v=1773314929","url":"https:\/\/lateknightbooks.com\/products\/9783031974083","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}