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A-Bayesian-Approach
- In this paper, we propose a Bayesian methodology for receiver function analysis, a key tool in determining the deep structure of the Earth’s crust.We exploit the assumption of sparsity for receiver functions to develop a Bayesian deconvolution
wsnmg
- 定位技术是无线传感器网络中关键的基础支撑技术, 目前提出了许多静态网络的节点定位算 法, 移动无线传感器网络的定位研究相对较少. 针对定位节点和参考节点随机运动的网络模型, 提出了 一个基于动态网格划分的蒙特卡罗定位算法. 算法中当接收的参考节点数超过一定阈值时使用最远距 离节点选择模型, 选出部分参考节点参与定位和信息转发, 节约能耗. 接着基于选择的或所有接收的参 考节点构建采样区域, 进行网格划分, 使用网格单元数计算最大采样次数, 在采样区域内采样并使用误 差补偿的运
A-mobility-based-cluster-formation-algorithm-for-
- In this paper, we propose a learning automatabased weighted cluster formation algorithm calledMCFA in which the mobility parameters of the hosts are assumed to be random variables with unknown distributions. In the proposed clustering algorit
Analog-to-information-conversion-via-random-demod
- A paper on random demodulation of Analog-to-information conversion in signal sampling.
Random-sampling-for-analog-to-information-convers
- A paper on wideband signal sampling using Random sampling method.
spatial-econometric
- 适用于空间计量的各种模型，包括SVAR SEM SMD 等，以及各种检验，如LM Walds等-least-squares, simultaneous systems (2SLS,3SLS, SUR) limited dependent variable (logit, probit, tobit) and Bayesian variants time-series (VAR, BVAR, ECM) estimation and accompanying forecasting func