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To solve the contradiction between convergence rate and steady-state error in least mean square (LMS) algorithm, basing on independence assumption, this paper proposes and proves the optimal step-size theorem from the view of minimizing mean squared error (MSE). The theorem reveals the one-to-one mapping between the optimal step-size and MSE. Following the theorem, optimal variable step-size LMS (OVS-LMS) model, describing the theoretical bound of the convergence rate of LMS algorithm, is constructed. Then we discuss the selection of initial optimal step-size and updating of optimal step-size at the time of unknown system changing. At last an optimal step-size LMS algorithm is proposed and tested in various environments. Simulation results show the proposed algorithm is very close to the theoretical bound. 相似文献
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基于游走近端梯度(walk proximal gradient,WPG)提出无人机的一致性控制算法,并在高度对齐场景下进行建模实验.验证了算法在有路由与无路由两种情况下的性能,并在无路由情况下将WPG算法进行推广,且将推广的WPG算法与基于Gossip的方法相结合.实验表明,在有路由情况下,算法可在有限的迭代次数下迅速收敛,且收敛精度高;在无路由情况下,算法具有很好的收敛性,并具有很高的通信效率,可大幅减小一致性过程中的通信开销. 相似文献
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机器人定位中的自适应粒子滤波算法 总被引:1,自引:1,他引:0
The research of robot localization aims at accuracy, simplicity and robustness. This article improves the performance of particle filters in robot localization via the utilization of novel adaptive technique. The proposed algorithm introduces probability retracing to initialize particle sets, uses consecutive window filtering to update particle sets, and refreshes the size of particle set according to the estimation state. Extensive simulations show that the proposed algorithm is much more effective than the traditional particle filters. The proposed algorithm successfully solves the nonlinear, non-Gaussian state estimation problem of robot localization. 相似文献
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信号与系统课程历史变革与进展 总被引:10,自引:0,他引:10
"信号与系统"是高等学校电工程和信息科学类甚至更多专业的一门重要的基础课程。它的历史久远,许多内容已相当成熟。为了进一步提高课程质量,有必要研究它的历史、现状和前景。本文试图从回顾"信号与系统"课程的发展过程中,从我国该课程的演变中,从国际上最新发展动向中,从我国和美国相应课程的比较中探寻课程的改革方向。 相似文献
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采用背景提取和自适应滤波的视频降噪算法 总被引:1,自引:0,他引:1
针对监控视频图像背景固定的特点,提出一种有效去除高斯噪声和脉冲噪声的降噪算法.首先通过分析噪声设计一种提取视频序列背景图像的算法,然后对运动区域采用自适应像素域滤波算法来进行处理.该算法根据最小可觉差和视频图像特征自适应地选择谐波均值滤波、加权算术平均滤波、α-截尾均值滤波和中值滤波.为评估降噪算法性能,将降噪处理前后的视频序列分别进行MPEG-2编码,并改变目标码率对比视频质量.实验结果显示:降噪处理后的视频能够用更少的(约50%)比特数获得相同的主、客观视频质量;或者用相同的比特数获得更高的视频质量. 相似文献
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