- Sharp phase transitions are now part of our landscape; they can be used for many different purposes (see Sharp Phase Transition links)
- Multiple hardware and sensors are coming about that use sparsity seeking solvers to reconstruct images or videos. They are, in effect, compressive sensors but you won't find the name compressed sensing near the description of these instruments (see Hardware links)
We are also beginning to see results that will allow people to consider nonlinear sensing as an acceptable sensing modalitiy. The big unknown for the time being, is to understand what type of nonlinearities (see Connection to neural networks)
What I have not seen on a regular basis is hardware makers naturally checking the capabilities through the computation of the sharp phase transitions. It is important, not just, on a theoretical basis bit also for them to discover the real capabilities of their systems (see Hardware). I note that this month, we may have witnessed another Donoho-Tao moment, with applied mathematicians, much like pirates, suggesting a new hardware architecture. You don't see this everyday (see here)
And then there is the interesting case of well known Angel Investors who seem to put a good emphasis on sensors ( The Business Side of Sensors, Part Deux ).
We live in exciting times. We also had a bunch of interesting interactions this month
Sharp Phase Transitions
and eventually A Favor to Ask. Most importantly we had a few implementations made available by their authors:
- Sparse Spikes Deconvolution Numerical Tour
- Compressed Sensing with Linear Correlation Between Signal and Measurement Noise
- BiG-AMP: Bilinear Generalized Approximate Message Passing
- The Block-Coordinate Update method for Advanced Matrix Factorization
- Phase Retrieval from masked Fourier transforms
- Parallel and distributed sparse optimization
- Low-budget Transient Imaging using Photonic Mixer Devices
- Sparse nonnegative deconvolution for compressive calcium imaging: algorithms and phase transitions
- The achievable performance of convex demixing, Convexity in source separation: Models, geometry, and algorithms
- Sunday Morning Insight: The Map Makers
- Compressed Sensing in Imaging Mass Spectrometry
- A Parallel Compressive Imaging Architecture for One-Shot Acquisition
- Towards Motion-Aware Light Field Video for Dynamic Scenes
- Coded Time of Flight Cameras: Sparse Deconvolution to Address Multipath Interference and Recover Time Profiles
- Low-budget Transient Imaging using Photonic Mixer Devices - implementation -
- Micro-modulated luminescence tomography
- The STONE Transform: Multi-Resolution Image Enhancement and Real-Time Compressive Video
- Randomized Items: $\ell_p$ Pooling Representations, the little Grothendieck Problem, Last 100 interesting entries.
- Signal Recovery from $\ell_p$ Pooling Representations
- Testing a Quasi-Isometric Quantized Embedding with ipython notebooks and other examples with Octave as a service
- Learning Intuitive Compressive Sensing
Meetups
Sunday Morning Insight
Video
Job
Saturday Morning Videos
Join the CompressiveSensing subreddit or the Google+ Community and post there !
Liked this entry ? subscribe to Nuit Blanche's feed, there's more where that came from. You can also subscribe to Nuit Blanche by Email, explore the Big Picture in Compressive Sensing or the Matrix Factorization Jungle and join the conversations on compressive sensing, advanced matrix factorization and calibration issues on Linkedin.
No comments:
Post a Comment