Opportunistic unlicensed access to the (tem- porarily) unused frequency bands across the licensed radio spectrum is currently being inves- tigated as a means to increase the efficiency of spectrum usage. Such opportunistic access calls for implement
This paper presents the underlyingtheory, an associated algorithm, example results, and provide comparisons to other compressive-sensing inversion algorithms in the literature.
Cognitive radio is widely expected to be the next Big Bang in wireless communications. Spectrum sensing, that is, detecting the presence of the primary users in a licensed spectrum, is a fundamental problem for cognitive radio. As a result, spectrum
Abstract—The spectrum sensing problem has gained new aspects with cognitive radio and opportunistic spectrum access concepts. It is one of the most challenging issues in cognitive radio systems. In this paper, a survey of spectrum sensing methodolog
一篇写得很清晰的论文，希望看了会有帮助 The physics of compressive sensing (CS) and the gradient-based recovery algorithms are presented. First, the di®erent forms for CS are summarized. Second, the physical meanings of coherence and measurement are given. Third, the g
This chapter generalizes compressed sensing (CS) to reduced-rate sampling of analog signals. It introduces Xampling, a uni ed framework for low rate sam- pling and processing of signals lying in a union of subspaces.
This thesis develops algorithms and applications for compressive sensing, a topic in signal processing that allows reconstruction of a signal from a limited number of linear combinations of the signal. New algorithms are described for common remote
The book brings together contributions written by renowned researchers from all over the world and from a wide range of disciplines relating to remote sensing. The book is meant for professionals and researchers who use remote sensing image analysis
