Friday, April 17, 2009

CS: Herschel, Toeplitz Random Encoding for Reduced Acquisition Using Compressed Sensing

Following up on yesterday's entry (Godspeed Herschel), I went ahead and talked to the initiators of the CS scheme for this project on Herschel. Jean-Luc Starck mentioned to me that the initial study with the compressive sensing encoding was made from some idealized star fields but that they now have access to a real sky simulator which should improve their confidence in the scheme. Utlimately, the proof will be in the pudding with the real data from the spacecraft. We will only know then if the CS scheme was a good solution to transfer data to the ground. Data should stream from the spacecraft (with no encoding/compression) within the first three months of the launch. A trial period will then take place to check the CS scheme. Eventually the hope is for the CS encoding scheme to be the one preferred to download data from the spacecraft. May 6th is our next date and then they should go in this trial mode at the beginning of August.

In other news, Muthu's arms are up :-)



In a different area, I think this is the first time we have this sort of encoding in MRI:

Considerable attention has been paid to compressed sensing (CS) in the MRI community recently (1,2). CS theory allows exact recovery of a sparse signal from a highly incomplete set of samples (3,4), and thus has the potential for significant reduction in MRI scan time. While most existing work has focused on Fourier encoding, non-Fourier encoding has shown some promise (5,6). In this abstract, we design a pulse sequence to implement the Toeplitz random encoding method proposed earlier (6). The experimental results show that Toeplitz random encoding can be realized in practice as an alternative method for CS MRI.

The attendant poster is here.

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