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IEEE Signal Processing Society
Computational Photography and Image Processing Advancements - SPACE Webinar Series

Explore computational imaging with Prof. Sabine Süsstrunk from EPFL in this IEEE Signal Processing Society webinar, focusing on advanced techniques and applications in image processing.
- YouTube
- 1 hour 1 minute
- On-Demand
- Free Video
IEEE Signal Processing Society
SPACE Webinar Series - Machine Learning for Scientific Applications

Explore cutting-edge signal processing research with Prof. Rebecca Willett from the University of Chicago in this IEEE Signal Processing Society webinar.
- YouTube
- 1 hour 9 minutes
- On-Demand
- Free Video
IEEE Signal Processing Society
Imaging Through Scattering Media - SPACE Webinar Series

Explore cutting-edge research in signal processing with Prof. Ori Katz from Hebrew University of Jerusalem, discussing innovative techniques and applications in the field.
- YouTube
- 1 hour 8 minutes
- On-Demand
- Free Video
IEEE Signal Processing Society
Sub-Nyquist Sampling - Theory and Applications

Explore cutting-edge signal processing research with Prof. Yonina Eldar from Weizmann Institute of Science in this IEEE Signal Processing Society webinar.
- YouTube
- 1 hour 15 minutes
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IEEE Signal Processing Society
Game Theoretic Learning and Spectrum Management - Part 3

Explore advanced concepts in game theoretic learning and spectrum management, focusing on signal processing applications and cutting-edge research developments.
- YouTube
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IEEE Signal Processing Society
Game Theoretic Learning and Spectrum Management - Part 1

Explore game theoretic learning and spectrum management principles with experts Amir Leshem and Kobi Cohen in this IEEE Signal Processing Society presentation.
- YouTube
- 1 hour 4 minutes
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IEEE Signal Processing Society
Deep Learning for Computational Imaging - SPACE Webinar Series

Explore advanced signal processing techniques with Prof. Bihan Wen from NTU, focusing on cutting-edge research and applications in the field of signal and image processing.
- YouTube
- 1 hour 29 minutes
- On-Demand
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IEEE Signal Processing Society
Sparse Modeling and Learning for Computational Imaging - SPACE Webinar Series

Explore advanced signal processing techniques and their applications in imaging and data science with expert insights from Saiprasad Ravishankar of Michigan State University.
- YouTube
- 1 hour 14 minutes
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IEEE Signal Processing Society
Signal Processing Society State of the Society 2014

Overview of the IEEE Signal Processing Society's achievements, initiatives, and future directions as presented at ICASSP 2014, highlighting key developments in the field.
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Society for Industrial and Applied Mathematics
Polar Deconvolution of Mixed Signals - IMAGINE Seminar Series

Explore signal demixing using polar deconvolution, a novel approach for separating mixed signals with high efficiency and stability, presented by Michael Friedlander from UBC.
- YouTube
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Society for Industrial and Applied Mathematics
Signal Recovery with Generative Priors - SIAM-IS Virtual Seminar

Explore signal recovery using generative priors in imaging, discussing neural network models, recovery guarantees, and applications in compressed sensing and phase retrieval.
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Joint Mathematics Meetings
Mathematical Frameworks for Signal and Image Analysis - Lecture 1

Explore mathematical frameworks for signal and image analysis, focusing on multiresolution analysis and wavelets, with renowned mathematician Ingrid Daubechies.
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IEEE
An Improved Lower Bound for Sparse Reconstruction from Subsampled Hadamard Matrices

Explore improved lower bounds for sparse reconstruction using subsampled Hadamard matrices, advancing understanding in signal processing and compressed sensing.
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IEEE
Nearly Sample Optimal Sparse Fourier Transform in Any Dimension - RIPless and Filterless

Explore advanced techniques for sparse Fourier transforms in multidimensional spaces, focusing on sample-optimal methods without relying on RIP or filtering.
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Hausdorff Center for Mathematics
Mathematics of Signal Design for Communication Systems and Szemerédi’s and Green-Tao’s Theorems

Explore signal design for communication systems, focusing on orthogonal transmission schemes and their dynamics. Delve into mathematical connections with functional analysis and additive combinatorics.
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