• No results found

interacting multiple model

Automatic modulation classification using interacting multiple model - Kalman filter for channel estimation

Automatic modulation classification using interacting multiple model - Kalman filter for channel estimation

... rigorous model for automatic modulation classification (AMC) in cognitive radio (CR) systems is proposed in this ...adaptive interacting multiple model (IMM) for resilient estimation of the ...

12

A Novel Interacting Multiple Model Particle Filter for Maneuvering Target Tracking in Clutter

A Novel Interacting Multiple Model Particle Filter for Maneuvering Target Tracking in Clutter

... among multiple operating regimes, is usually a difficult Bayesian inference problem and has attracted significant attention in the signal processing community for many years ...so-called multiple ...

15

Contact Transitions Tracking During Force-Controlled Compliant Motion Using an Interacting Multiple Model Estimator

Contact Transitions Tracking During Force-Controlled Compliant Motion Using an Interacting Multiple Model Estimator

... The remaining parts of this article are organized as follows. In section 2 the problem of contact transitions’ tracking during force-controlled compliant motion is formulated as a state estimation problem of hybrid ...

17

Tracking contact transitions during force controlled compliant motion using an interacting multiple model estimator

Tracking contact transitions during force controlled compliant motion using an interacting multiple model estimator

... with multiple contacts is considered, that of moving a cube into a ...the multiple model approach it is possible: i) to detect effectively at each moment the current contact configuration and ii) to ...

6

Interacting Multiple Model Particle-type Filtering Approaches to Ground Target Tracking

Interacting Multiple Model Particle-type Filtering Approaches to Ground Target Tracking

... new interacting multiple model unscented particle filter (IMMUPF) is presented to deal with the ...the interacting multiple model (IMM) framework for updating the state of moving ...

8

Variable  and Fixed Structure Augmented Interacting Multiple Model Algorithms for Manoeuvring Ship Tracking Based on New Ship Models

Variable and Fixed Structure Augmented Interacting Multiple Model Algorithms for Manoeuvring Ship Tracking Based on New Ship Models

... system model and random processes’ statistics as well as because of their abrupt changes (Bar-Shalom, 1992, Bar-Shalom and Li, 1993, 1995, Best and Norton, 1997, Lerro, Bar-Shalom, ...the Interacting ...

16

IMM Fifth-Degree Spherical Simplex-Radial Cubature Filter for Maneuvering Target Tracking

IMM Fifth-Degree Spherical Simplex-Radial Cubature Filter for Maneuvering Target Tracking

... named interacting multiple model fifth-degree spherical simplex-radial cubature filter (IMM5thSSRCKF) is proposed in this ...the interacting multiple model (IMM) filter and ...

13

Online Full Text

Online Full Text

... based interacting multiple model algo- rithm is ...of interacting multiple modelmodel mixer is redesigned to re-initialize the system ...

6

Switching multiple model filter for boost phase missile tracking

Switching multiple model filter for boost phase missile tracking

... This paper introduces a new filter for estimating the trajectory of a tactical ballistic missile (TBM) during its boost-phase. This filter presents two novelties: i) it is based on a novel switching algorithm and ii) is ...

7

Search | Preprints

Search | Preprints

... mathematical model is formulated for transient frequency of power system considering time delays which occur while transmitting the control signals in open communication ...of multiple time delays. This ...

19

A Monte Carlo Algorithm for State and Parameter Estimation of Extended Targets

A Monte Carlo Algorithm for State and Parameter Estimation of Extended Targets

... Abstract. This paper considers the joint state and parameter estimation of ex- tended targets. Both the target kinematic states, position and speed, are estimated with the target extent parameters. The developed ...

8

1708.05925.pdf

1708.05925.pdf

... To address the question, one would like to modify the IBM 0νββ calculations of Refs. [11–13] by adding the isoscalar spin-1 boson, which we will label p. But be- cause the IBM Hamiltonian is phenomenological, we do not ...

17

Recurrent Neural Network based Classification of Protein Protein Interactions

Recurrent Neural Network based Classification of Protein Protein Interactions

... Proteomics is an attempt to describe or explain biological state and qualitative and quantitative changes of protein content of cells and extracellular biological materials under different conditions to further ...

6

Model of Interacting Spin One Bosons

Model of Interacting Spin One Bosons

... In earlier papers we take different approaches such as large deviations [7] and approximating Hamilto- nian [5, 6] strategies for obtaining the limit pressures in the case of Bose-atom systems with internal two level ...

6

An interacting systems model of infant habituation

An interacting systems model of infant habituation

... HAB model (for Habituation, Autoassociation, and Brain) maps autoassociator neural networks to a func- tional, updated version of Sokolov’s (1963) Comparator ...HAB model provides a synthesis of the ...

12

The Lipid Modifying Multiple Peptide Resistance Factor Is an Oligomer Consisting of Distinct Interacting Synthase and Flippase Subunits

The Lipid Modifying Multiple Peptide Resistance Factor Is an Oligomer Consisting of Distinct Interacting Synthase and Flippase Subunits

... (5). Importantly, antibiotics of last resort against highly antibiotic-resistant bacteria, such as the cationic antibiotic vanco- mycin and the CAMP-like antibiotic daptomycin, also bind in a charge-dependent manner to ...

9

Interacting and Non-Interacting Holographic Gas Model of Dark energy in f(G) Gravity

Interacting and Non-Interacting Holographic Gas Model of Dark energy in f(G) Gravity

... The Hubble parameter, scalar expansion and shear are the functions of time and decreases as t increases and approaches null at later time. This suggested that at initial stage of the Universe, the expansion of the ...

9

On Locating Multiple Interacting Quantitative Trait Loci in Intercross Designs

On Locating Multiple Interacting Quantitative Trait Loci in Intercross Designs

... Classical methods of QTL mapping based on one- dimensional genome searches like interval mapping (L ander and B otstein 1989), composite-interval map- ping (CIM) (Z eng 1993, 1994), and multiple-QTL map- ping ...

11

Stochastic Simulation of the Kinetics of Multiple Interacting Nucleic Acid Strands

Stochastic Simulation of the Kinetics of Multiple Interacting Nucleic Acid Strands

... energy model parameter set and calculations are implemented in a simple modular data structure that allows for both the energy computations at a local scale as we have previously mentioned, but also as a flexible ...

104

The Interacting Multiple Models Algorithm with State-Dependent Value Assignment

The Interacting Multiple Models Algorithm with State-Dependent Value Assignment

... Some researchers have implemented VSMM algorithms with model selection or switching rules that are based not only on the target’s internal state but also on the properties of the world around the target. For ...

89

Show all 10000 documents...

Related subjects