Compressive sensing (CS) is a new approach to simultaneous sensing and compression of sparse and compressible signals based on randomized dimensionality reduction. To recover a signal from its compressive measurements, standard CS algorithms seek th
关于压缩感知技术的几篇经典文章。其中包括：Optimized compressed sensing for curvelet-based seismic data reconstruction.pdf Rebecca Willett, Michael Gehm, and David Brady, Multiscale reconstruction for computational spectral imaging.pdf Richard Baraniuk and Philippe Steeg
CS_MRI:压缩感知（CS）在MRI领域的应用.程序实现展示了CS在MRI的重要作用和明显效果。对于那些CS初学者有着极大的帮助。 CS_MRI:Compressive Sensing's application in MRI field. Codes realize and show the great significance of CS in MRI field.It can be of great help to those fresh in CS field.
