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所在平台: Coursera专项课程 |
课程主页: https://www.coursera.org/specializations/kalman-filtering-applied
课程评论:没有评论
本课程《应用卡尔曼滤波》由科罗拉多大学系统提供,旨在教授如何设计和实现卡尔曼滤波器。课程内容涵盖线性和非线性卡尔曼滤波器以及粒子滤波器,适合希望深入理解状态估计方法的学习者。 课程大纲包括四个部分,具体如下: 1. **卡尔曼滤波入门(Kalman Filter Boot Camp)**:介绍卡尔曼滤波作为解决隐藏状态估计问题的一种方法。可以在课程链接处免费注册。 2. **线性卡尔曼滤波深入分析(Linear Kalman Filter Deep Dive)**:作为“卡尔曼滤波入门”的后续课程,深入推导线性卡尔曼滤波的步骤。此课程同样可免费注册。 3. **非线性卡尔曼滤波与参数估计(Nonlinear Kalman Filters)**:此课程是“线性卡尔曼滤波深入分析”的进一步学习,主要推导非线性卡尔曼滤波的步骤,适合需要掌握更复杂滤波技术的学员。 4. **粒子滤波与导航(Particle Filters)**:作为“应用卡尔曼滤波”专业方向的最终课程,学习者将学习如何开发碎片滤波器,处理导航等具体应用。 所有课程均可免费注册,适合希望提高在信号处理和状态估计领域技能的学习者。更多课程信息和注册请访问:[Coursera 课程链接](https://www.coursera.org/learn/kalman-filter-boot-camp-state-estimation)。
Course Link: https://www.coursera.org/learn/kalman-filter-boot-camp-state-estimation
Name:Kalman Filter Boot Camp (and State Estimation)
Description:Offered by University of Colorado System. Introduces the Kalman filter as a method that can solve problems related to estimating the hidden ... Enroll for free.
Course Link: https://www.coursera.org/learn/kalman-filter-deep-dive-target-tracking
Name:Linear Kalman Filter Deep Dive (and Target Tracking)
Description:Offered by University of Colorado System. As a follow-on course to "Kalman Filter Boot Camp", this course derives the steps of the linear ... Enroll for free.
Course Link: https://www.coursera.org/learn/nonlinear-kalman-filters-parameter-estimation
Name:Nonlinear Kalman Filters (and Parameter Estimation)
Description:Offered by University of Colorado System. As a follow-on course to "Linear Kalman Filter Deep Dive", this course derives the steps of the ... Enroll for free.
Course Link: https://www.coursera.org/learn/particle-filters-navigation
Name:Particle Filters (and Navigation)
Description:Offered by University of Colorado System. As the final course in the Applied Kalman Filtering specialization, you will learn how to develop ... Enroll for free.
Offered by University of Colorado System. Learn how to Design and Implement Kalman Filters. Linear and nonlinear Kalman filters and particle ... Enroll for free.