Structured compressed sensing: From theory to applications
Compressed sensing (CS) is an emerging field that has attracted considerable research
interest over the past few years. Previous review articles in CS limit their scope to standard …
interest over the past few years. Previous review articles in CS limit their scope to standard …
Sensitivity to basis mismatch in compressed sensing
The theory of compressed sensing suggests that successful inversion of an image of the
physical world (broadly defined to include speech signals, radar/sonar returns, vibration …
physical world (broadly defined to include speech signals, radar/sonar returns, vibration …
Compressed channel sensing: A new approach to estimating sparse multipath channels
High-rate data communication over a multipath wireless channel often requires that the
channel response be known at the receiver. Training-based methods, which probe the …
channel response be known at the receiver. Training-based methods, which probe the …
Sparse channel estimation for multicarrier underwater acoustic communication: From subspace methods to compressed sensing
In this paper, we investigate various channel estimators that exploit channel sparsity in the
time and/or Doppler domain for a multicarrier underwater acoustic system. We use a path …
time and/or Doppler domain for a multicarrier underwater acoustic system. We use a path …
Sub-nyquist sampling
M Mishali, YC Eldar - IEEE Signal Processing Magazine, 2011 - ieeexplore.ieee.org
In this article, we review sampling strategies that target reduction of the ADC rate below
Nyquist. Our survey covers classic works from the early 1950s through recent publications …
Nyquist. Our survey covers classic works from the early 1950s through recent publications …
Compressive estimation of doubly selective channels in multicarrier systems: Leakage effects and sparsity-enhancing processing
We consider the application of compressed sensing (CS) to the estimation of doubly
selective channels within pulse-sha** multicarrier systems (which include orthogonal …
selective channels within pulse-sha** multicarrier systems (which include orthogonal …
[BOG][B] Compressive sensing for wireless networks
Compressive sensing is a new signal processing paradigm that aims to encode sparse
signals by using far lower sampling rates than those in the traditional Nyquist approach. It …
signals by using far lower sampling rates than those in the traditional Nyquist approach. It …
Identification of parametric underspread linear systems and super-resolution radar
Identification of time-varying linear systems, which introduce both time-shifts (delays) and
frequency-shifts (Doppler-shifts), is a central task in many engineering applications. This …
frequency-shifts (Doppler-shifts), is a central task in many engineering applications. This …
Channel estimation for OFDM systems over doubly selective channels: A distributed compressive sensing based approach
Channel estimation for an orthogonal frequency-division multiplexing (OFDM) broadband
system over a doubly selective channel is very challenging. This is mainly due to the …
system over a doubly selective channel is very challenging. This is mainly due to the …
Super-resolution radar
In this paper, we study the identification of a time-varying linear system from its response to a
known input signal. More specifically, we consider systems whose response to the input …
known input signal. More specifically, we consider systems whose response to the input …