In this work, we propose adaptive frequency-domain biased estimation algorithms with mechanisms to automatically adjust the shrinkage factors. The proposed estimation algorithms i...
—This paper deals with optimized training sequences to estimate multiple-input multiple-output orthogonal frequencydivision multiplexing (MIMO-OFDM) channel states in the presenc...
Compressive sensing and processing delivers high resolution data using reduced sampling rates and computational effort compared to Nyquist sensing and processing. Compressive proc...
Abstract—This work proposes a novel connectivity-based localization algorithm, well suitable for large-scale sensor networks with complex shapes and non-uniform nodal distributio...
This paper presents a novel approach for estimating the shortest
Euclidean distance from a given point to the corresponding
implicit quadric fitting surface. It first estimates t...