Advances in Theory of Compressive Sensing and Applications in Communication

Sampling is the link between analog signal and digital signal. With the rapid development of information technologies, demands for the amount of information are increasing at very fast speed. So the systems in existence are very difficult to meet the challenges of sampling at high speed, transmitting and storing large volume data. How to acquire information in signal efficiently is an urgent problem in electronic information fields. Compressive Sensing (CS) is a new theory of signal sampling, coding and encoding, which makes full use of signal´s sparsity and compressibility [1][2]. This paper mainly introduce the model of Compressive Sensing theory, algorithm of Compressive Sensing theory. In the end, the applications fields of Compressive Sensing in communication are introduced.