Joint work with Mark Davenport, Marco Duarte, Chinmay Hegde,and Michael Wakin.Compressive sensing is a new approach to data acquisition in whichsparse or compressible signals are digitized for processing not viauniform sampling but via measurements using more general, even random,test functions. In contrast with conventional wisdom, the new theo...
Creator:
Baraniuk, Richard G. (Rice University)
Created:
2008-10-27
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Interest in manifold learning for representing the topology of large, high dimensional nonlinear data sets in lower, but still meaningful dimensions for visualization and analysis has grown rapidly over the past decade, including analysis of hyperspectral remote sensing data. The high spectral resolution and the typically continuous bands of hyp...
Creator:
Crawford, Melba (Purdue University)
Created:
2013-09-25
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Illustration featuring mostly text in Slovak, with a red, white, and blue border, and an illustration of a soldier with the American, Slovakian, and Czech flags.
Created:
1914 - 1918
Contributed By:
University of Minnesota Libraries, Special Collections and Rare Books.
Poster featuring mostly text in Czechoslovakian, with a red, white, and blue border, and an illustration of a soldier with the American, Slovakian, and Czech flags.
Creator:
Preissig, Vojtech, 1873-1944
Created:
1918
Contributed By:
University of Minnesota Libraries, Upper Midwest Literary Archives.
