Petros Boufounos: L1 minimization without amplitude information

Tony Chan: TVL1 models for imaging: global optimization and geometric properties: Part I 

Ronald DeVore: Decoders for Compressed Sensing

Selim Esedoglu: TVL1 models for imaging: global optimization and geometric properties: Part II

Anna Gilbert: Combining geometry and combinatorics: a unified approach to sparse signal recovery

Jean-Luc Guermond/Bojan Popov: Approximating PDEs in L1

Alexander Kurganov: Numerical Methods for Modern Traffic Flow Models

Gitta Kutyniok: l1-Minimization and the Geometric Separation Problem

Stanley Osher: Fast Bregman Iteration for Compressive Sensing and Sparse Denoising

Tom Goldstein: The split Bregman method for L1-regularized problems

Alexander Petoukhov: l^1 greedy algorithm for finding solutions of underdetermined linear systems

Justin Romberg: Architectures for Compressive Sampling

Panagiotis Souganidis: Rates of convergence for monotone approximations of viscosity solutions

Eitan Tadmor:  L1 Techniques for Three Problems in PDEs, Numerics and Image Processing

Jared Tanner: The surprising structure of Gaussian point clouds and its implications for signal processing

Richard Tsai: Exploratory path planning and target detection

Yin Zhang: Enhanced Compressive Sensing and More