Search - mean shift

Search - mean shift - List

[Other] BCFO DL : 0: We address the problem of blind carrier frequency-offset (CFO) estimation in quadrature amplitude modulation, phase-shift keying, and pulse amplitude modulation communications systems.We study the performance of a standard CFO estimate, which consists of first raising the received signal to the Mth power, where M is an integer depending on the type and size of the symbol constellation, and then applying the nonlinear least squares (NLLS) estimation approach. At low signal-to noise ratio (SNR), the NLLS method fails to provide an accurate CFO estimate because of the presence of outliers. In this letter, we derive an approximate closed-form expression for the outlier probability. This enables us to predict the mean-square error (MSE) on CFO estimation for all SNR values. For a given SNR, the new results also give insight into the minimum number of samples required in the CFO estimation procedure, in order to ensure that the MSE on estimation is not significantly affected by the outliers.
Date : 2025-12-21 Size : 1.21mb User : 吴大亨
[Other] cr2885 DL : 0: MEAN SHIFT的相关资料是一个PDF格式的论文可以供大家学习-some paper of MEAN SHIFT
Date : 2025-12-21 Size : 192kb User : 朱晶
[Other] Mean-Shift-Review DL : 0: Mean Shift 概述,Word文档,总共15页-Mean Shift overview, Word documents, total 15 pages.
Date : 2025-12-21 Size : 1.47mb User : Swai
[Other] getPDF2 DL : 0: combination of mean shift filter and particle filter
Date : 2025-12-21 Size : 585kb User : roops
[Other] Human-Body-Tracking-by-Adaptive-Background-Models DL : 0: Human Body Tracking by Adaptive Background Models and Mean-Shift Analysis
Date : 2025-12-21 Size : 836kb User : dario
[Other] meanshift-and-particle DL : 0: 使用均值漂移和粒子滤波进行目标跟踪的论文。-Using mean shift and particle filter for target tracking papers.
Date : 2025-12-21 Size : 1.08mb User : 姓名
[Other] kernel_based_object_tracking_survey DL : 0: A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects, is proposed. The feature histogram-based target representations are regularized by spatial masking with an isotropic kernel. The masking induces spatially-smooth similarity functions suitable for gradient-based optimization, hence, the target localization problem can be formulated using the basin of attraction of the local maxima. We employ a metric derived from the Bhattacharyya coefficient as similarity measure, and use the mean shift procedure to perform the optimization. In the presented tracking examples, the new method successfully coped with camera motion, partial occlusions, clutter, and target scale variations. Integration with motion filters and data association techniques is also discussed. We describe only a few of the potential applications: exploitation of background information, Kalman tracking using motion models, and face tracking.
Date : 2025-12-21 Size : 2.33mb User : Felix
[Other] MeanShift_ModeSeeking_andClustering DL : 0: Mean Shift 这个概念最早是由Fukunaga等人[1]于1975年在一篇关于概率密度梯度函数的估计中提出来的,其最初含义正如其名,就是偏移的均值向量,在这里Mean Shift是一个名词-Mean Shift
Date : 2025-12-21 Size : 2.61mb User : han_jianchou
[Other] mean-shift-for-Real-time-Tracking DL : 0: Using Mean-Shift Tracking Algorithms for Real-Time Tracking of Moving Images on an Autonomous Vehicle Testbed Platform
Date : 2025-12-21 Size : 434kb User : wuyukun
[Other] mean-shift DL : 0: Mean_shift_Target_Tracking文献，适用于初学者，利用mean shift算法，在简单背景下的目标跟踪和检测。-Mean_shift_Target_Tracking literature, suitable for beginners, using the mean shift algorithm, under the background of simple target tracking and detection.
Date : 2025-12-21 Size : 8.38mb User : zyx