Results 31 to 40 of about 8,240,365 (341)
Robust Localization Based on Mixed-Norm Minimization Criterion
This paper presents robust positioning methods that use range measurements to estimate location parameters. The existing maximum correntropy criterion-based localization algorithm uses only the $l_{2}$ norm minimization.
Chee-Hyun Park, Joon-Hyuk Chang
doaj +1 more source
A theory of multirate filter banks [PDF]
Multirate filter banks produce multiple output signals by filtering and subsampling a single input signal, or conversely, generate a single output by upsampling and interpolating multiple inputs. Two of their main applications are subband coders for speech processing and transmultiplexers for telecommunications. Below, we derive a theoretical framework
openaire +1 more source
Robust INS/GPS sensor fusion for UAV localization using SDRE nonlinear filtering [PDF]
For publication in IEEE Sensors JournalThe aim of this paper is to present a new INS/GPS sensor fusion scheme, based on State-Dependent Riccati Equation (SDRE) nonlinear filtering, for Unmanned Aerial Vehicle (UAV) localization problem.
Aouf, Nabil, Aouf, N., Nemra, A.
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Distributed Sampling of Signals Linked by Sparse Filtering: Theory and Applications
We study the distributed sampling and centralized reconstruction of two correlated signals, modeled as the input and output of an unknown sparse filtering operation.
A. Hormati +3 more
semanticscholar +1 more source
Multi-target tracking of birds in complex low-altitude airspace based on GM_PHD filter
GM_PHD (Gaussian mixture of probability hypothesis density) cannot completely track multiple targets, such as the flying birds in the complex low-altitude airspace near the airport, due to the lack of the steps of birth detection, track extraction and ...
Tao Hong +4 more
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Robust H infty filtering for uncertain differential linear repetitive processes
The unique characteristic of a repetitive process is a series of sweeps or passes through a set of dynamics defined over a finite duration known as the pass length.
Rogers, E +4 more
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Grayscale image processing is a key research area in the field of computer vision and image analysis, where image quality and visualization effects may be seriously damaged by high-density salt and pepper noise.
Ning Cao, Yupu Liu
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Adaptive cardinality balanced multi-target multi-Bernoulli filter based on cubature Kalman
The sequential Monte Carlo cardinality balanced multi-Bernoulli (SMC-CBMeMBer) filter provides a good framework to cope with the multi-target tracking problem.
Haihuan Wang, Xiaoyong Lyu, Long Ma
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Low sidelobe waveform design with constant modulus constraint for high-frequency radar
This article designs waveform in fast-time domain to optimise high-frequency radar performances embedded in the co-channel interference and coloured noise.
Shengnan Shi +4 more
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Labelled GM-CBMEMBER filter with adaptive track initiation
The initial Gaussian mixture cardinality balanced multi-target multi-Bernoulli (GM-CBMeMBer) filter does not provide track information and assumes that the target birth intensity is known as a priori, but in reality the target may appear anywhere in the ...
Hemin Sun +4 more
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