Jump to main content
Jump to site search

All chapters
Previous chapter Next chapter

Chapter 7

CLEAN

CLEAN is an algorithm for the suppression of artifacts from nonuniform sampling, originally developed in the field of radioastronomy in the 1960s and 1970s. Recognizing similarities between the problem of NMR NUS and astronomical data collection, several NMR groups have applied versions of CLEAN to NMR data. Here, we recount the historical background of CLEAN in astronomy, explain how the algorithm works as applied to NMR, examine the method's theoretical underpinnings, and present examples of its use with NMR experiments. CLEAN shows a number of similarities to methods being used in the compressed sensing community, and recent theoretical results suggest that CLEAN should succeed under the same or similar conditions to those in which convex l1-norm minimization succeeds.

Publication details


Print publication date
23 May 2017
Copyright year
2017
Print ISBN
978-1-84973-619-0
PDF eISBN
978-1-78262-836-1
ePub eISBN
978-1-78801-135-8
From the book series:
New Developments in NMR