The recently developed compressive sensing (CS) framework en-ables the design of sub-Nyquist analog-to-digital converters. Several architectures have been proposed for the acquisition of sparse sig-nals in large swaths of bandwidth. In this paper we consider a more flexible multi-channel signal model consisting of several discontigu-ous channels where the occupancy of the combined bandwidth of the channels is sparse. We introduce a new compressive acquisition architecture, the compressive multiplexer (CMUX), to sample such signals. We demonstrate that our architecture is CS-feasible and sug-gest a simple implementation with numerous practical advantages. Index Terms — compressive sensing, spectrum sensing, random demodulator, multiplexing, ...
Compressive sampling (CS), or compressive sensing, has the ability for reconstructing a sparse signa...
Conventional approach in acquisition and reconstruction of images from frequency domain strictly fol...
In this paper, we investigate the use of multiple antennas at the cognitive radio receiver for impro...
Compressive sensing is a relatively new technique in the signal processing field which allows acquir...
Abstract—Compressive sensing (CS) is an alternative to Shan-non/Nyquist sampling for the acquisition...
We present a general architecture for the acquisition of ensembles of correlated signals. The signal...
Spread Spectrum (SS) techniques are methods used in communication systems where the spectra of the s...
In the recently proposed collaborative compressive sensing, the cognitive radios (CRs) sense the occ...
We consider the problem of spectrum sensing in a Cognitive Radio (CR) system when the primaries can ...
Signal acquisition under a compressed sensing scheme offers the possibility of acquisition and recon...
Thesis (Ph.D.)--University of Washington, 2013According to Nyquist Sampling theorem, a band-limited ...
A major challenge in spectrum sensing for cognitive radio (CR) applications is the very high samplin...
It is possible to sample signals at sub-Nyquist rate and still be able to reconstruct them with reas...
Abstract—In the Cognitive Compressive Sensing (CCS) prob-lem, a Cognitive Receiver (CR) seeks to opt...
Abstract: Due to increasing number of wireless services spectrum congestion is a major concern in bo...
Compressive sampling (CS), or compressive sensing, has the ability for reconstructing a sparse signa...
Conventional approach in acquisition and reconstruction of images from frequency domain strictly fol...
In this paper, we investigate the use of multiple antennas at the cognitive radio receiver for impro...
Compressive sensing is a relatively new technique in the signal processing field which allows acquir...
Abstract—Compressive sensing (CS) is an alternative to Shan-non/Nyquist sampling for the acquisition...
We present a general architecture for the acquisition of ensembles of correlated signals. The signal...
Spread Spectrum (SS) techniques are methods used in communication systems where the spectra of the s...
In the recently proposed collaborative compressive sensing, the cognitive radios (CRs) sense the occ...
We consider the problem of spectrum sensing in a Cognitive Radio (CR) system when the primaries can ...
Signal acquisition under a compressed sensing scheme offers the possibility of acquisition and recon...
Thesis (Ph.D.)--University of Washington, 2013According to Nyquist Sampling theorem, a band-limited ...
A major challenge in spectrum sensing for cognitive radio (CR) applications is the very high samplin...
It is possible to sample signals at sub-Nyquist rate and still be able to reconstruct them with reas...
Abstract—In the Cognitive Compressive Sensing (CCS) prob-lem, a Cognitive Receiver (CR) seeks to opt...
Abstract: Due to increasing number of wireless services spectrum congestion is a major concern in bo...
Compressive sampling (CS), or compressive sensing, has the ability for reconstructing a sparse signa...
Conventional approach in acquisition and reconstruction of images from frequency domain strictly fol...
In this paper, we investigate the use of multiple antennas at the cognitive radio receiver for impro...