2006 IEEE Nonlinear Statistical Signal Processing Workshop
Latest Publications

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(FIVE YEARS 0)

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(FIVE YEARS 0)

Published By IEEE

9781424405794, 9781424405817

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Entropy Based Adaptive Particle Filter

2006 IEEE Nonlinear Statistical Signal Processing Workshop ◽

10.1109/nsspw.2006.4378826 ◽

2006 ◽

Author(s):

Silvia Liverani ◽

Anastasia Papavasiliou

Keyword(s):

Particle Filter

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Exploiting Signal Nongaussianity and Nonlinearity for Performance Assessment of Adaptive Filtering Algorithms: Qualitative Performance of Kalman Filter

2006 IEEE Nonlinear Statistical Signal Processing Workshop ◽

10.1109/nsspw.2006.4378837 ◽

2006 ◽

Author(s):

Mo Chen ◽

Temujin Gautama ◽

Dragan Obradovic ◽

Jonathon Chambers ◽

Danilo Mandic

Keyword(s):

Kalman Filter ◽

Performance Assessment ◽

Adaptive Filtering ◽

Filtering Algorithms ◽

Qualitative Performance

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A Risk Sensitive Estimator for Nonlinear Problems using the Adaptive Grid Method

2006 IEEE Nonlinear Statistical Signal Processing Workshop ◽

10.1109/nsspw.2006.4378806 ◽

2006 ◽

Cited By ~ 5

Author(s):

Shovan Bhaumik ◽

M. Srinivasan ◽

Smita Sadhu ◽

Tapan Kumar Ghoshal

Keyword(s):

Grid Method ◽

Nonlinear Problems ◽

Adaptive Grid ◽

Risk Sensitive

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Exact and Approximate Bayesian Smoothing Algorithms in Partially Observed Markov Chains

2006 IEEE Nonlinear Statistical Signal Processing Workshop ◽

10.1109/nsspw.2006.4378841 ◽

2006 ◽

Cited By ~ 2

Author(s):

Boujemaa Ait-el-Fquih ◽

Francois Desbouvries

Keyword(s):

Markov Chains ◽

Partially Observed ◽

Approximate Bayesian ◽

Bayesian Smoothing

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Particle Filtering Applied to Robust Multivariate Likelihood Optimization in the Absence of a Closed-Form Solution

2006 IEEE Nonlinear Statistical Signal Processing Workshop ◽

10.1109/nsspw.2006.4378849 ◽

2006 ◽

Author(s):

Pau Closas ◽

Juan A. Fernandez-Rubio ◽

Carles Fernandez Prades

Keyword(s):

Closed Form ◽

Particle Filtering ◽

Closed Form Solution ◽

Form Solution ◽

Multivariate Likelihood

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On Sequential Monte Carlo Sampling of Discretely Observed Stochastic Differential Equations

2006 IEEE Nonlinear Statistical Signal Processing Workshop ◽

10.1109/nsspw.2006.4378811 ◽

2006 ◽

Cited By ~ 4

Author(s):

Simo Sarkka

Keyword(s):

Monte Carlo ◽

Differential Equations ◽

Stochastic Differential Equations ◽

Sequential Monte Carlo ◽

Monte Carlo Sampling

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Expectation Propagation for Inference in Non-Linear Dynamical Models with Poisson Observations

2006 IEEE Nonlinear Statistical Signal Processing Workshop ◽

10.1109/nsspw.2006.4378825 ◽

2006 ◽

Cited By ~ 4

Author(s):

Byron M. Yu ◽

Krishna V Shenoy ◽

Maneesh Sahani

Keyword(s):

Expectation Propagation ◽

Dynamical Models ◽

Non Linear

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Quantization Based Filtering Method using First Order Approximation and Comparison with the Particle Filtering Approach

2006 IEEE Nonlinear Statistical Signal Processing Workshop ◽

10.1109/nsspw.2006.4378830 ◽

2006 ◽

Cited By ~ 1

Author(s):

Afef Sellami

Keyword(s):

Particle Filtering ◽

Order Approximation ◽

Filtering Method ◽

First Order ◽

First Order Approximation ◽

Filtering Approach

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The IGMARP Data Fusion Algorithm

2006 IEEE Nonlinear Statistical Signal Processing Workshop ◽

10.1109/nsspw.2006.4378814 ◽

2006 ◽

Author(s):

Andrew R. Runnalls

Keyword(s):

Data Fusion ◽

Fusion Algorithm

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PP algorithm for Particle Filtering within Ellipsoidal Regions

2006 IEEE Nonlinear Statistical Signal Processing Workshop ◽

10.1109/nsspw.2006.4378815 ◽

2006 ◽

Author(s):

A. Balestrino ◽

A. Caiti ◽

E. Crisostomi

Keyword(s):

Particle Filtering

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2006 IEEE Nonlinear Statistical Signal Processing WorkshopLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By IEEE

Entropy Based Adaptive Particle Filter

Exploiting Signal Nongaussianity and Nonlinearity for Performance Assessment of Adaptive Filtering Algorithms: Qualitative Performance of Kalman Filter

A Risk Sensitive Estimator for Nonlinear Problems using the Adaptive Grid Method

Exact and Approximate Bayesian Smoothing Algorithms in Partially Observed Markov Chains

Particle Filtering Applied to Robust Multivariate Likelihood Optimization in the Absence of a Closed-Form Solution

On Sequential Monte Carlo Sampling of Discretely Observed Stochastic Differential Equations

Expectation Propagation for Inference in Non-Linear Dynamical Models with Poisson Observations

Quantization Based Filtering Method using First Order Approximation and Comparison with the Particle Filtering Approach

The IGMARP Data Fusion Algorithm

PP algorithm for Particle Filtering within Ellipsoidal Regions

2006 IEEE Nonlinear Statistical Signal Processing Workshop
Latest Publications