On The Performance Comparison of Gradient Type Joint-Process Est

A Publication, Deniz Gencaga's Collection - 13 years, 5 months ago

Shared By: Deniz Gencaga

In adaptive signal processing, joint process estimation plays an important role in various estimation problems. It is well known that a joint process estimator consists ...

SAR Image Enhancement using Particle Filters

A Publication, Deniz Gencaga's Collection - 12 years, 10 months ago

Shared By: Deniz Gencaga

In this paper, we propose a novel approach to reduce the noise in Synthetic Aperture Radar (SAR) images using particle filters. Interpretation of SAR images ...

Estimation of Time-Varying Autoregressive Symmetric Alpha Stable

A Publication, Deniz Gencaga's Collection - 12 years, 10 months ago

Shared By: Deniz Gencaga

In this work, we propose a novel method to model time-varying autoregressive impulsive signals, which possess Symmetric Alpha Stable distributions. The proposed method is composed ...

Information-Theoretic Methods for Identifying Relationships amon

A Publication, Deniz Gencaga's Collection - 12 years, 10 months ago

Shared By: Deniz Gencaga

Information-theoretic quantities, such as entropy, are used to quantify the amount of information a given variable provides. Entropies can be used together to compute the ...

Characterization of Interstellar Organic Molecules

A Publication, Deniz Gencaga's Collection - 12 years, 10 months ago

Shared By: Deniz Gencaga

Understanding the origins of life has been one of the greatest dreams throughout history. It is now known that star-forming regions contain complex organic molecules, ...

Modeling of non-stationary autoregressive alpha-stable processe

A Publication, Deniz Gencaga's Collection - 12 years, 7 months ago

Shared By: Deniz Gencaga

In the literature, impulsive signals are mostly modeled by symmetric alpha-stable processes. To represent their temporal dependencies, usually autoregressive models with time-invariant coefficients are utilized. ...

Estimation of Time Varying Autoregressive Symmetric Alpha Stable

A Publication, Deniz Gencaga's Collection - 12 years, 10 months ago

Shared By: Deniz Gencaga

In this work, we present a novel method for modeling time-varying autoregressive impulsive signals driven by symmetric alpha stable distributions. The proposed method can be ...

Modeling non-Gaussian time-varying vector autoregressive process

A Publication, Deniz Gencaga's Collection - 12 years, 10 months ago

Shared By: Deniz Gencaga

We present a novel and general methodology for modeling time-varying vector autoregressive processes which are widely used in many areas such as modeling of chemical ...

Discovering Precursors to Aviation Safety Incidents: KDD 2010

A Publication, Ashok Srivastava's Collection - 10 years, 3 months ago

Shared By: Ashok Srivastava

Modern aircraft are producing data at an unprecedented rate with hundreds of parameters being recorded on a second by second basis. The data can be ...

ADAPTIVE FAULT DETECTION ON LIQUID PROPULSION SYSTEMS WITH VIRTUAL SENSORS: ALGORITHMS AND ARCHITECTURES

A Publication, Bryan Matthews's Collection - 13 years, 6 months ago

Shared By: Bryan Matthews

Prior to the launch of STS-119 NASA had completed a study of an issue in the flow control valve (FCV) in the Main Propulsion System ...

Ares I-X Ground Diagnostic Prototype

A Publication, Ares I-X Ground Diagnostic Prototype - 13 years, 6 months ago

Shared By: MARK SCHWABACHER

The automation of pre-launch diagnostics for launch vehicles offers three potential benefits: improving safety, reducing cost, and reducing launch delays. The Ares I-X Ground Diagnostic ...

Virtual Sensors: Efficiently Estimating Missing Spectra

A Publication, Nikunj Oza's Collection - 13 years, 6 months ago

Shared By: Nikunj Oza

Various instruments are used to create images of the Earth and other objects in the universe in a diverse set of wavelength bands with the ...

IJ

A Publication, Indir Jaganjac's Collection - 13 years, 5 months ago

Shared By: Indir Jaganjac

Universal log-periodic correction to renormalization group scaling for rupture stress prediction from acoustic emissions.

Mining Distance-Based Outliers in Near Linear Time

A Publication, MARK SCHWABACHER's Collection - 13 years, 6 months ago

Shared By: MARK SCHWABACHER

Full title: Mining Distance-Based Outliers in Near Linear Time with Randomization and a Simple Pruning Rule Abstract: Defining outliers by their distance to neighboring examples ...