Survey on Compressed Sensing.- Temporal compressive sensing for video.- Compressed Sensing, Sparse Inversion, and Model Mismatch.- Recovering Structured Signals in Noise: Least-Squares Meets Compressed Sensing.- The Quest for Optimal Sampling: Computationally Efficient, Structure-exploiting Measurements for Compressed Sensing.- Compressive Sensing in Acoustic Imaging.- Quantization and Compressive Sensing.- Compressive Gaussian Mixture Estimation.- Two Algorithms for Compressed Sensing of Sparse Tensors.- Sparse Model Uncertainties in Compressed Sensing with Application to Convolutions and Sporadic Communication.- Cosparsity in Compressed Sensing.- Structured Sparsity: Discrete and Convex Approaches.- Explicit Matrices with the Restricted Isometry Property: Breaking the Square-Root Bottleneck.- Tensor Completion in Hierarchical Tensor Representations.- Compressive Classification: Where Wireless Communications Meets Machine Learning.