top of page

Why Maths Matters: Why Compressed Sensing Matters

Compressed Sensing lets us capture signal data – in a digital photo or MRI scan, for example – from very few measurements. Developed by mathematicians in the early 2000s, compressed sensing now powers your mobile phone camera, MRI scanners, electron microscopes, and radio telescopes. The key idea is that real-world signals are highly structured (sparse) and this lets us reconstruct signals by solving a much easier problem: finding the shortest vector in a “space of signals”.

Get Involved

Please email cams@connectpa.co.uk if you want to get involved in the campaign or if we can help with your work. You also can sign up for the CaMS newsletter using the form on this page.

 

We are always looking for help and suggestions to advance the mathematical sciences, including from new campaign supporters and industry partners.

 

We are always happy to help by sharing data and insights about the mathematical sciences, and with media queries and speaking opportunities, and policy briefings and visits.

Connect are working on behalf of CaMS (Campaign for Mathematical Sciences). We value your privacy and the data collected through this feedback form will only be used to keep you updated on CaMs’ work and activity. We will always treat your personal data with the utmost care and take all appropriate steps to protect it. You can view our Privacy Policy at https://www.campaignmathsci.uk/privacy

AdobeStock_786712187_edited.png
bottom of page