Completed
Simon Foucart: Essentials of Compressive Sensing (Lecture 1)
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Mathematics of Signal Processing - Trimester Program Lectures
Automatically move to the next video in the Classroom when playback concludes
- 1 Simon Foucart: Essentials of Compressive Sensing (Lecture 1)
- 2 Francis Bach: Large scale Machine Learning and Convex Optimization (Lecture 1)
- 3 Suvrit Sra: Lecture series on Aspects of Convex, Nonconvex, and Geometric Optimization (Lecture 1)
- 4 Felix Krahmer: The Restricted Isometry Property for Random Gabor Synthesis Matrices
- 5 Karlheinz Gröchenig: Gabor Analysis and its Mysteries (Lecture 1)
- 6 Xiadong Li: Phase Retrieval from Convex to Nonconvex Methods
- 7 Hans Feichtinger: Fourier Analysis via the Banach Gelfand Triple
- 8 David Gross: The Toric Code Finite WH meets Topological Order
- 9 Simon Foucart: Essentials of Compressive Sensing (Lecture 2)
- 10 Francis Bach: Large scale Machine Learning and Convex Optimization (Lecture 2)
- 11 Ke Wei: Low rank matrix recovery From iterative hard thresholding to Riemannian optimization
- 12 Simon Foucart: Essentials of Compressive Sensing (Lecture 4)
- 13 Suvrit Sra: Lecture series on Aspects of Convex, Nonconvex, and Geometric Optimization (Lecture 2)
- 14 Suvrit Sra: Lecture series on Aspects of Convex, Nonconvex, and Geometric Optimization (Lecture 3)
- 15 Romanos Malikiosis: Full spark Gabor frames in finite dimensions
- 16 Simon Foucart: Essentials of Compressive Sensing (Lecture 3)
- 17 Gabriel Peyré: Exact Support Recovery for Sparse Spikes Deconvolution
- 18 David Gross: Diamond norm as improved regularizer for low rank matrix recovery
- 19 Albert Cohen: Data assimilation in reduced modeling
- 20 Karlheinz Gröchenig: Gabor Analysis and its Mysteries (Lecture 2)
- 21 Rémi Gribonval: Projections, Learning, and Sparsity for Efficient Data Processing
- 22 Fabio Nobile: Polynomial Approximation of Random PDEs by discrete least squares with observations in
- 23 Anders Hansen: What is the Solvability Complexity Index SCI....
- 24 Francis Bach: Large scale Machine Learning and Convex Optimization (Lecture 3)
- 25 Francis Bach: Large scale Machine Learning and Convex Optimization (Lecture 4)
- 26 Laurent Jacques/Valerio Cambareri: Small width, low distortions: quantized random projections of...
- 27 Franz Luef: The finite Heisenberg group in noncommutative geometry
- 28 Peter Jung: Some Aspects of Weyl Heisenberg Signal Design in Wireless Communication
- 29 Marcus Appleby: Number theoretic features of a SIC
- 30 Karlheinz Gröchenig: Gabor Analysis and its Mysteries (Lecture 4)
- 31 Karlheinz Gröchenig: Gabor Analysis and its Mysteries (Lecture 3)
- 32 Jan Vybiral: Non asymptotic analysis of l1 support vector machines
- 33 Martin Lotz: A blind spot in the probabilistic complexity analysis of algorithms
