Results 21 to 30 of about 2,450,622 (319)
A PDF Estimation-Based Iterative MIMO Signal Detection With Unknown Interference [PDF]
The equivalent diversity order of iterative minimum mean squared error (MMSE) multiuser detectors for multiple input multiple output (MIMO) channels is decreased if they aim at suppressing unknown cochannel interference (UCCI) while detecting multiple ...
Matsumoto, Tadashi +2 more
core +1 more source
Robust train motion model calibration based on M-estimation
Train motion model calibration is crucial to ensure the accuracy and performance of any railway algorithm that requires reproducing and predicting train dynamics. The calibration must be robust against measurement outliers and missing data. However, such
Alex Cunillera (17121811) +3 more
core +1 more source
Amplitude estimation without phase estimation [PDF]
AbstractThis paper focuses on the quantum amplitude estimation algorithm, which is a core subroutine in quantum computation for various applications. The conventional approach for amplitude estimation is to use the phase estimation algorithm, which consists of many controlled amplification operations followed by a quantum Fourier transform.
Yohichi Suzuki +5 more
openaire +3 more sources
Probability hypothesis density filtering for real-time traffic state estimation and prediction [PDF]
The probability hypothesis density (PHD) methodology is widely used by the research community for the purposes of multiple object tracking. This problem consists in the recursive state estimation of several targets by using the information coming from an
El Faouzi, Nour Eddin +9 more
core +1 more source
Navigation and estimation of separative labelling curves [PDF]
openIn questo lavoro si investiga la possibilità di un agente di navigare ed identificare una curva sconosciuta, lineare o non lineare, la quale divide due regioni dello spazio bidimensionale in cui i punti sono dotati di un'etichetta (e.g.
SARTORI, GIACOMO
core
31 pages, added the 4.419 upper-bound on the ...
Boufkhad, Yacine, Hugel, Thomas
openaire +4 more sources
In this paper, a new machine learning solution for function approximation is presented. It combines many simple and relatively inaccurate estimators to achieve high accuracy. It creates - in incremental manner - hierarchical, tree-like structure, adapting it to the specific problem being solved.
Brodowski, Stanisław, Podolak, Igor
openaire +2 more sources
A probabilistic hypothesis density filter for traffic flow estimation in the presence of clutter [PDF]
Prediction of traffic flow variables such as traffic volume, travel speed or travel time for a short time horizon is of paramount importance in traffic control.
Romain Billot +9 more
core +1 more source
Target Association of Heterogeneous Sensors Based on Nearest-neighbor and Topology
A new data association algorithm is proposed in this paper for heterogeneous sensors information fusion system, which consists of Radar and high-dynamic-range IR, based on joint usage of the nearest-neighbor (NN) and the topology similarity. The proposed
Yuan Ding-bo +3 more
doaj +1 more source
Educational Organization’s Security Level Estimation Model
During the pandemic, distance learning gained its necessity. Most schools and universities were forced to use e-learning tools. The fast transition to distance learning increased the digitalization of the educational system and influenced the increase of
Simona Ramanauskaitė +5 more
doaj +1 more source

