基于卡尔曼滤波的道路目标检测与跟踪研究
基于卡尔曼滤波的道路目标检测与跟踪研究，采用交互多模(IMM)算法...
imm-kalman技术资料
📦 资源总数：429
💻 源代码：2497
探索imm-kalman技术的精髓，掌握多模型交互式多假设滤波器在目标跟踪、导航系统及信号处理中的卓越表现。本页面汇集了429个精选资源，从基础理论到高级应用一应俱全，帮助您深入理解如何通过自适应权重调整实现对非线性系统的精确估计。无论是初学者还是资深工程师，都能在这里找到提升技能所需的学习材料与实战案例，加速您的项目开发进程。立即访问，开启您的imm-kalman学习之旅！
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查看全部429个资源 »Carrier-phase synchronization can be approached in a general manner by estimating the multiplicativ
Carrier-phase synchronization can be approached in a general manner by estimating the multiplicative distortion (MD) to which a baseband received si...
Rao-Blackwellised Particle Filters (RBPFs) are a class of Particle Filters (PFs) that exploit condi
Rao-Blackwellised Particle Filters (RBPFs) are a class of Particle Filters (PFs) that exploit conditional dependencies between parts of the state to...
The need for accurate monitoring and analysis of sequential data arises in many scientic, industria
The need for accurate monitoring and analysis of sequential data arises in many scientic, industrial and nancial problems. Although the Kalman lte...
％ PURPOSE : Demonstrate the differences between the following filters on the same problem: ％ ％ 1)
％ PURPOSE : Demonstrate the differences between the following filters on the same problem: ％ ％ 1) Extended Kalman Filter (EKF) ％ 2) Unscented Kalm...
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