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Juri  just sent me the following: Dear Igor, I follow your blog since I was working on my MSc thesis in 2009 and I always appreciated your efforts to spread news and interesting works related to CS and sparse signal processing. .... I would like to point out a couple of recent results obtained in my lab that are of possible interest for the readers of your blog: 1) The first one, talks about an algorithm for near-optimal sensor placement to solve a linear inverse […]

So that now we have a clearer view of sensing modalities [1], here are some examples that showed up on our collective radar screen in the past month: The first one is akin to functional compressive sensing of the type: Hx = N(Ax). There, we are not interested in image reconstruction but rather the reconstruction of a specific item in a series of measurements (the moving objects).  Compressive Object Tracking using Entangled Photons Omar S. Magaña-Loaiza, Gregory A. […]

What is a sensor and how does sensing fit with Machine Learning ?  This is a common question that I think arise out of the fact that our fields are becoming too specific thereby attenuating our common sense of what the big picture entails. Be forewarned, the following brief exposition will be making numerous shortcuts and abuse of notation. Everything starts with the simple notion that what you see is what you get: x = x In other words, on one side, you have x and on the other you […]

A supercell near Booker, Texas A supercell near Booker, Texas from Mike Olbinski on Vimeo. Instant Ice   Airbnb Tech Talk: Bjorn Freeman-Benson - Airplanes, Spaceships, and Missiles  Information Overload: The Failure of NSA Intelligence [Shane Harris @ ForaTV Everest -A time lapse short film Everest -A time lapse short film from Elia Saikaly on Vimeo. Join the CompressiveSensing subreddit or the Google+ Community and post there ! Liked this entry ? subscribe to Nuit […]

This week we had quite a few interesting threads on the interwebs about signals acquisition and making sense of them. While the former seems to be feasible thanks to Moore's law, the latter is, in view of the different results mentioned here and elsewhere, likely substandard. The real issue is: do policymakers understand there is a difference between acquiring data and making sense of them in the same way that there is a difference between a rental car company taking a reservation and […]