433 search results - page 55 / 87 » 1-Bit compressive sensing |
141
Voted
ICASSP
2008
IEEE
15 years 7 months ago
2008
IEEE
Compressive sensing aims to recover a sparse or compressible signal from a small set of projections onto random vectors; conventional solutions involve linear programming or greed...
97
Voted
CSR
2006
Springer
15 years 4 months ago
2006
Springer
Given two strings (a text t of length n and a pattern p) and a natural number w, window subsequence problems consist in deciding whether p occurs as a subsequence of t and/or findi...
137
Voted
CDC
2010
IEEE
14 years 7 months ago
2010
IEEE
In this paper, we derive concentration of measure inequalities for compressive Toeplitz matrices (having fewer rows than columns) with entries drawn from an independent and identic...
111
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ICIP
2006
IEEE
16 years 2 months ago
2006
IEEE
Compressive Sensing is an emerging field based on the revelation that a small group of non-adaptive linear projections of a compressible signal contains enough information for rec...
111
Voted
KES
2008
Springer
15 years 20 days ago
2008
Springer
Abstract. Classification of hyperspectral images is paramount to an increasing number of user applications. With the advent of more powerful technology, sensed images demand for la...