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Big data and compressed sensing: How to sample your data in a clever way

last modified Jun 09, 2015 01:34 PM
Data compression helps us to reduce file sizes so that we can move them around without losing the crucial information. But can we use the same principles to collect less data in the first place? Dr Anders Hansen shows us how an understanding of sparsity can help answer this question.

Anders Hansen heads the Applied and Harmonic Analysis Group in DAMTP, with interests in computational analysis, compressed sensing and sampling.  

Email: ach70 [at]


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