Publications associées à A convex optimization approach for image recovery from nonlinear measurements in optical interferometry

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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

A convex optimization approach for image recovery from nonlinear measurements in optical interferometry

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Structure Tensor Total Variation

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

Accelerated Microstructure Imaging via Convex Optimization (AMICO) in crossing fibers

Design of a Switching Controller for Adaptive Disturbance Attenuation with Guaranteed Stability

Tensor optimisation for optical-interferometric imaging

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

Learning with tensors: a framework based on convex optimization and spectral regularization

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

Composite convex minimization involving self-concordant-like cost functions

Accelerated Microstructure Imaging via Convex Optimization (AMICO) in crossing fibers

Composite convex minimization involving self-concordant-like cost functions

Design of a Switching Controller for Adaptive Disturbance Attenuation with Guaranteed Stability

Learning with tensors: a framework based on convex optimization and spectral regularization

Tensor optimisation for optical-interferometric imaging

Structure Tensor Total Variation

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

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