Publications associées à Gabor dual windows using convex optimization

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A Data-Driven Approach in Designing RST Controllers with H∞ Performance via Convex Optimization

Alireza Karimi, Achille Nicoletti, Zlatko Emedi

In this paper, a new method for designing robust fixed-order

\mathcal{H}_{\infty}

discrete-time controllers is presented. The controller structure is a two-degree of freedom polynomial controller of the

RST

type. A data-driven approach is implemented f ...

IEEE2015

Gabor dual windows using convex optimization

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A Data-Driven Method for Computing Fixed-Structure Low-Order Controllers With H∞ Performance

Proximity Operators of Discrete Information Divergences

Fast and robust estimation of NODDI parameters using non-Gaussian noise models and spatial regularization

A Data-Driven Approach to Power Converter Control via Convex Optimization

Why CLEAN when you can PURIFY? A new approach for next-generation radio-interferometric imaging

A Data-Driven Approach in Designing RST Controllers with H∞ Performance via Convex Optimization

Composite convex minimization involving self-concordant-like cost functions

Composite convex minimization involving self-concordant-like cost functions

Convex Optimization for Big Data

PURIFY: A new algorithmic framework for next-generation radio-interferometric imaging

Fast and robust estimation of NODDI parameters using non-Gaussian noise models and spatial regularization

A Data-Driven Method for Computing Fixed-Structure Low-Order Controllers With H∞ Performance

PURIFY: A new algorithmic framework for next-generation radio-interferometric imaging

A Data-Driven Approach in Designing RST Controllers with H∞ Performance via Convex Optimization

Composite convex minimization involving self-concordant-like cost functions

Composite convex minimization involving self-concordant-like cost functions

Convex Optimization for Big Data

Why CLEAN when you can PURIFY? A new approach for next-generation radio-interferometric imaging

Proximity Operators of Discrete Information Divergences

A Data-Driven Approach to Power Converter Control via Convex Optimization