Progress in applied Compressive Sampling: A brief review on methods and devices

The CS (Compressive Sampling/Compressed Sensing) is an emerging technique in signal processing, which enables the development of better methods and devices. This talk presents a brief review on the progress of CS after a decade of its developments. First, the principle of the CS and the difference with classical sampling is explained. Then, early developments on CS-methods and related applications are described by giving some well-known examples, such as the single-pixel camera and sparse MRI. A review on the progress of CS research in our group, covering both of theoretical and applied aspects, will also be given.