Compressed Sensing
Compressed sensing (CS) allows to recover certain signals from far fewer samples or measurements than traditional methods use, if signals are sparse in the proper basis and the measurement basis is incoherent to the signal basis. The CS technique has a variety of applications in which conventional data acquisition scheme has significant limitations in practice. The applications include
Image processing
OFDM channel estimation
Compressed analog-to-digital converter
Wireless sensor networks
Radar systems
etc.
Our research interests include
Design and analysis of structured random measurement matrices
Compressed encryption and its applications
Applications of compressed sensing techniques in communication systems, image processing, radar, etc.