A unified view of the area of sparse signal processing is presented in tutorial form by
bringing together various fields in which the property of sparsity has been successfully …

In this paper, we consider the pilot design based on the mutual incoherence property (MIP)
for sparse channel estimation in orthogonal frequency-division multiplexing (OFDM) …

This paper presents a novel recovery algorithm based on sparsity adaptive matching pursuit
(SaMP) and a new near-optimal pilot placement scheme, for compressed sensing (CS) …

In this paper, we present a compressive sampling and multihypothesis (MH) reconstruction
strategy for video sequences that has a rather simple encoder, while the decoding system is …

We consider the deterministic pilot design problem for sparse channel estimation in an
Orthogonal Frequency Division Multiplexing (OFDM) system. Our design is based on …

Classical sampling theorem states that by using an anti-aliased low-pass filter at the Nyquist
rate, one can transmit and retrieve the filtered signal. This approach, which has been used …

This letter investigates the deterministic design of pilot power and pattern for sparse channel
estimation in OFDM systems based on minimizing the coherence of the DFT sub-matrix. It …

We study the pilot design problem for sparse channel estimation in OFDM systems where
multiple channels are estimated at a single antenna receiver. Such design is applicable to …

Conventional sampling techniques are based on Shannon-Nyquist theory which states that
the required sampling rate for perfect recovery of a band-limited signal is at least twice its …

Structured estimation of channel impulse response (CIR) is considered in orthogonal
frequency division multiplexing (OFDM) systems for which the channel exhibits a sparse …