Sparse Representations and Compressive Sensing for Imaging and Vision e-bog
473,39 DKK
(inkl. moms 591,74 DKK)
Compressed sensing or compressive sensing is a new concept in signal processing where one measures a small number of non-adaptive linear combinations of the signal. These measurements are usually much smaller than the number of samples that define the signal. From these small numbers of measurements, the signal is then reconstructed by non-linear procedure. Compressed sensing has recently em...
E-bog
473,39 DKK
Forlag
Springer
Udgivet
11 februar 2013
Genrer
Electronics engineering
Sprog
English
Format
pdf
Beskyttelse
LCP
ISBN
9781461463818
Compressed sensing or compressive sensing is a new concept in signal processing where one measures a small number of non-adaptive linear combinations of the signal. These measurements are usually much smaller than the number of samples that define the signal. From these small numbers of measurements, the signal is then reconstructed by non-linear procedure. Compressed sensing has recently emerged as a powerful tool for efficiently processing data in non-traditional ways. In this book, we highlight some of the key mathematical insights underlying sparse representation and compressed sensing and illustrate the role of these theories in classical vision, imaging and biometrics problems.