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.Matlab source code for a biometric identification system based on iris patterns. The School of Computer Science and Software ... Dictionary-based face recognition under variable lighting and pose. IEEE Transactions on Information Forensicsanbsp;...
|Title||:||Sparse Representations and Compressive Sensing for Imaging and Vision|
|Author||:||Vishal M. Patel, Rama Chellappa|
|Publisher||:||Springer Science & Business Media - 2013-02-11|