Live Q&A with Asmita Korde-Patel - Compressive Sensing Application for Transient Photometric Measurements
Asmita Korde-Patel- Watch Now - Duration: 07:46
18:36:55 From Thomas Wagner : These days everyone is keen to use neural networks to optimise the performance of systems with a large number of variables. Is this something you are looking to explore to refine your data acquisition or images reconstruction in parallel of CS? 18:39:35 From Darkphibre / Amity : Seems like any any sparse signals. Face Recognition is mentioned on the wiki, I'd imagine fingerprints may be applicable. Seems like you need a strong, sparse signal and a low noise floor? 18:39:53 From Darkphibre / Amity : (My take, on potential applications outside of astronomy) 18:39:53 From AK4GG John Phillips : Very impressive results from a non-intuitive approach for small cube sats. Is there now value in amalgamating observations from many more low cost cube sats looking at the same part of the sky ? 18:42:46 From Michael Kirkhart : Just found this via an online search - have only skimmed through it, but it might be helpful in trying to understand compressive sampling: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8260873 18:43:37 From Michael Kirkhart : This is an entirely new concept to me, but that is why I attend these conferences. 18:43:57 From Darkphibre / Amity : re: Phillips, It seems like it's a similar algorithm that's been used in radieo interferometry. https://en.wikipedia.org/wiki/CLEAN_(algorithm) 18:44:09 From Darkphibre / Amity : Very cool IEEE paper Michael, tyvm. 18:47:44 From AK4GG John Phillips : Are there any special preprocessing that needs to occur with the reference plane and the spare observation planes ? 18:48:28 From Thomas Wagner : Quite a unique experience to watch conferences at 11pm at night from the UK :) 18:49:44 From Thomas Wagner : Thank you Asmita for the presentation! 18:50:03 From Thomas Wagner : Bye!