Compressed Sensing and its Applications
Compressed Sensing and its Applications
MATHEON Workshop 2013
Vybiral, Jan; Calderbank, Robert; Boche, Holger; Kutyniok, Gitta
Birkhauser Verlag AG
10/2016
472
Mole
Inglês
9783319347622
8136
Descrição não disponível.
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.
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Acoustic Imaging;Compressed Sensing;Convex Optimization;Machine Learning;Quantization;Structured Sparsity;Wireless Communications
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
