… In this section, we present sparse channel estimation for … In summary, the benefits of
sparse channel estimation for … Intuitively, the advantage of sparse channel estimation relative …

… However, for sparse channel estimation that uses sparse … the pilot design for sparse channel
estimation by searching for the … channel estimation. Without loss of generality, we assume …

… In summary, a low-complexity accurate estimate of the sparse channel can be obtained from
a short training sequence through the use of an MP algorithm. This estimate is more robust …

… In this paper, we have investigated sparse channel estimation by formulating the estimation
problem as an OOK detection problem. The estimates of the location of zero-taps in the CIR …

… In this paper, we propose an improved sparse channel estimation method by … sparse LMS
algorithms in [2425], we propose two kinds of improved adaptive sparse channel estimation …

… for the LS channel estimation in OFDM systems is … channel estimation using sparse recovery
algorithms. In this letter, we investigate the pilot optimization for sparse channel estimation …

… instantiations, ie, the channels are group approximately-sparse (group a-sparse). In this
work, we cast the channel estimation problem as a group a-sparse channel estimation problem …

… Although, in the sparse channel estimation problem we have M ≥ N, the SBS algorithms …
a sparse solution. The popular choice of sequential basis selection for this channel estimation …

… In this paper, we deal with sparse channel estimation for multicarrier systems. We focus on
… of a path-based channel model, amenable to sparse estimation, where the UWA channel is …

… The CS techniques can be applied to sparse channel estimation. To estimate the path delays,
the CS-based channel estimator first selects a path delay grid such as Tλ = {0, 1/λ, 2/λ, . . . , …