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7 papers · 1 filter
Kernel Methods for Accurate UWB-Based Ranging with Reduced Complexity
Vladimir Savic, Erik G. Larsson, Javier Ferrer-Coll +1
Accurate and robust positioning in multipath environments can enable many applications, such as search-and-rescue and asset tracking. For this problem, ultra-wideband (UWB) technol…
Decomposition of modules over invariant differential operators
Rikard Bögvad, Rolf Källström
Let be a finite subgroup of the linear group of a finite-dimensional complex vector , be the symmetric algebra, the ri…
Characterizing the Heterogeneity of the OpenStreetMap Data and Community
Ding Ma, Mats Sandberg, Bin Jiang
OpenStreetMap (OSM) constitutes an unprecedented, free, geographic information source contributed by millions of individuals, resulting in a database of great volume and heterogene…
Wholeness as a Hierarchical Graph to Capture the Nature of Space
Bin Jiang
According to Christopher Alexander's theory of centers, a whole comprises numerous, recursively defined centers for things or spaces surrounding us. Wholeness is a type of global s…
Defining Least Community as a Homogeneous Group in Complex Networks
Bin Jiang, Ding Ma
This paper introduces a new concept of least community that is as homogeneous as a random graph, and develops a new community detection algorithm from the perspective of homogeneit…
Finding Structural Information of RF Power Amplifiers using an Orthogonal Non-Parametric Kernel Smoothing Estimator
Efrain Zenteno, Zain Ahmed Khan, Magnus Isaksson +1
A non-parametric technique for modeling the behavior of power amplifiers is presented. The proposed technique relies on the principles of density estimation using the kernel method…