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Wall of Films! | Films For Action. Just imagine what could become possible if an entire city had seen just one of the documentaries above. Just imagine what would be possible if everyone in the country was aware of how unhealthy the mainstream media was for our future and started turning to independent sources in droves. Creating a better world really does start with an informed citizenry, and there's lots of subject matter to cover.

From all the documentaries above, it's evident that our society needs a new story to belong to. The old story of empire and dominion over the earth has to be looked at in the full light of day - all of our ambient cultural stories and values that we take for granted and which remain invisible must become visible. But most of all, we need to see the promise of the alternatives - we need to be able to imagine new exciting ways that people could live, better than anything that the old paradigm could ever dream of providing.

So take this library of films and use it. Easy Java Simulations Wiki | Main / Home Page. About Easy Java/Javascript Simulations Easy Java/Javascript Simulations, also known as EjsS (and, formerly, EJS or Ejs), is a free authoring tool written in Java that helps non-programmers create interactive simulations in Java or Javascript, mainly for teaching or learning purposes. EjsS has been created by Francisco Esquembre and is part of the Open Source Physics project. A brief historical and naming remark: Before release 5.0, EjsS could only create Java simulations. Hence, its former name was “Easy Java Simulations” and its acronym just “EJS”. In this wiki: Science SPORE PrizeNovember 2011 Password only required for helping with the documentation If you follow a link in this wiki and get a ‘Password required’ message, this means the page you tried to visit does not exist yet.

Visitors counter This page has been visited times since October 2008. Data: Where can I get large datasets open to the public. Sandia's Computational Software Site. Space travel: Returning from the moon. Compressed sensing and single-pixel cameras. I’ve had a number of people ask me (especially in light of some recent publicity) exactly what “compressed sensing” means, and how a “single pixel camera” could possibly work (and how it might be advantageous over traditional cameras in certain circumstances). There is a large literature on the subject, but as the field is relatively recent, there does not yet appear to be a good non-technical introduction to the subject. So here’s my stab at the topic, which should hopefully be accessible to a non-mathematical audience.

For sake of concreteness I’ll primarily discuss the camera application, although compressed sensing is a more general measurement paradigm which is applicable to other contexts than imaging (e.g. astronomy, MRI, statistical selection, etc.), as I’ll briefly remark upon at the end of this post. The purpose of a camera is, of course, to record images. How can one compress an image? Pixels, which are all exactly the same colour – e.g. all white. Combinations to consider!)