Publications related to Optimization Of Compound Regularization Parameters Based On Stein'S Unbiased Risk Estimate

A New Technique for High-Resolution Frequency Domain Optical Coherence Tomography

Frequency domain optical coherence tomography (FDOCT) is a new technique that is well-suited for fast imaging of biological specimens, as well as non-biological objects. The measurements are in the frequency domain, and the objective is to retrieve an arti ...

IEEE2007

Asymmetric Gaussian Multiple Descriptions and Asymmetric Multilevel Diversity Coding

Suhas Diggavi

We consider multiple description source coding problem with Gaussian source and mean squared error, for

K=3

descriptions. We obtain an outer bound for the rate region of the problem. We also derive an inner bound for the problem based on successively ref ...

2007

Steady-State Performance of Adaptive Diffusion Least-Mean Squares

Ali H. Sayed

We study the mean-square performance of a diffusion least mean-squares protocol proposed in recent work to address the problem of distributed estimation [1, 2]. By relying on energy conservation arguments [8] we derive closed form expressions for the mean- ...

IEEE2007

Resamping variance estimation in surveys with missing data

Anthony Christopher Davison

We discuss variance estimation by resampling in surveys in which data are missing. We derive a formula for jackknife linearization in the case of calibrated estimation with deterministic regression imputation, and compare the resulting variance estimates w ...

2007

Stochastic Approach to Data Analysis in Fluorescence Correlation Spectroscopy

Theo Lasser, Rajesh Langoju, Ramachandra Rao

Fluorescence correlation spectroscopy (FCS) has emerged as a powerful technique for measuring low concentrations of fluorescent molecules and their diffusion constants. In FCS, the experimental data is conventionally fit using standard local search techniq ...

2006

Sampling in Practice: Is the Best Reconstruction Space Bandlimited?

Michaël Unser, Dimitri Nestor Alice Van De Ville, Sathish Ramani

Shannon's sampling theory and its variants provide effective solutions to the problem of reconstructing a signal from its samples in some “shift-invariant” space, which may or may not be bandlimited. In this paper, we present some further justification for ...

IEEE2005

PID Controller Design with Specifications on the Infinity-Norm of Sensitivity Functions

Alireza Karimi, Roland Longchamp, Daniel Garcia

A controller design method using a frequency criterion is proposed in this paper. The frequency criterion is defined as the weighted sum of squared errors between the specified and computed values of the design parameters. These are the infinity-norm of th ...

2005

Regularized Robust Filters for Time-Varying Uncertain Discrete-Time Systems

Ali H. Sayed

This note develops robust filters for time-varying uncertain discrete-time systems. The developed filters are based on a data regularization solution and they enforce a minimum state-error variance property. Simulation results confirm their superior perfor ...

IEEE2004

Transient analysis of data-normalized adaptive filters

Ali H. Sayed

Abstract: This paper develops an approach to the transient analysis of adaptive filters with data normalization. Among other results, the derivation characterizes the transient behavior of such filters in terms of a linear time-invariant state-space model ...

IEEE2003

A robust minimum-variance filter for time varying uncertain discrete-time systems

Ali H. Sayed

A robust filter is designed for uncertain discrete time models. The filter is based on a regularized solution and guarantees minimum state error variance. Simulation results confirm its superior performance over other robust filter designs. ...

2003

Optimization Of Compound Regularization Parameters Based On Stein'S Unbiased Risk Estimate

Graph Chatbot

Chat with Graph Search

A New Technique for High-Resolution Frequency Domain Optical Coherence Tomography

Asymmetric Gaussian Multiple Descriptions and Asymmetric Multilevel Diversity Coding

Steady-State Performance of Adaptive Diffusion Least-Mean Squares

Resamping variance estimation in surveys with missing data

Stochastic Approach to Data Analysis in Fluorescence Correlation Spectroscopy

Sampling in Practice: Is the Best Reconstruction Space Bandlimited?

PID Controller Design with Specifications on the Infinity-Norm of Sensitivity Functions

Regularized Robust Filters for Time-Varying Uncertain Discrete-Time Systems

Transient analysis of data-normalized adaptive filters

A robust minimum-variance filter for time varying uncertain discrete-time systems

Stochastic Approach to Data Analysis in Fluorescence Correlation Spectroscopy

PID Controller Design with Specifications on the Infinity-Norm of Sensitivity Functions

Steady-State Performance of Adaptive Diffusion Least-Mean Squares

Regularized Robust Filters for Time-Varying Uncertain Discrete-Time Systems

Resamping variance estimation in surveys with missing data

A New Technique for High-Resolution Frequency Domain Optical Coherence Tomography

Sampling in Practice: Is the Best Reconstruction Space Bandlimited?

A robust minimum-variance filter for time varying uncertain discrete-time systems

Asymmetric Gaussian Multiple Descriptions and Asymmetric Multilevel Diversity Coding

Transient analysis of data-normalized adaptive filters