Network-based CS recovery is used for faster processing of large-scale data, as well as for
sensor networks where the observation vector and sampling matrix are distributed. In this …

Peak-to-average power ratio (PAPR) is the main challenge of the conventional and optical
orthogonal frequency division multiplexing (OFDM) systems. In this paper, we implement the …

Estimation in a cooperative and distributed manner in wireless sensor networks (WSNs) has
considered much attention in recent years. When this distributed estimation is performed …

In most applications, the estimation of the filter length, along with the adoption of the filter
coefficients, is an exact requirement. Accordingly, followed the stand-alone adaptive filters …

The designed algorithms for wireless sensor networks (WSNs) should not impose a high
computational load on sensor nodes because they are battery‐powered devices. To …

This paper proposes a robust distributed state estimation algorithm for sensor networks. In a
distributed sensor network, sensor nodes may be affected by outliers and thus influence the …

Recently, cooperative and distributed processing has been attracted a lot of attention,
especially in wireless sensor networks, to prolong the network's lifetime. So, distributed …

In most compressive sensing algorithms, such as L1-optimization and greedy family
techniques, the only a priori information utilized in the reconstruction procedure is the …

In recent years, distributed adaptive processing has received much attention from both
theoretical and practical aspects. One of the efficient cooperation structures in distributed …

Special conditions of wireless sensor networks, such as energy limitation, make it essential
to accelerate the convergence of algorithms in this field, especially in the distributed …