Wireless multimedia sensor network (WMSN) is a special wireless sensor network (WSN)
made up of several multimedia sensor nodes, specially designed to retrieve multimedia …

In this work, we show that the incoherence alone is sufficient to establish the statistical
restricted isometry property (StRIP) and statistical incoherence property (SInCoP) for unit …

This article proposes a design optimization method of fast compressive sensing (CS)
operators for wideband three-dimensional (3-D) millimeter-wave (mmW) imaging systems …

Compressed Sensing (CS) is a novel data acquisition theorem exploiting the signals
sparsity differing from traditional Nyquist theorem in the ability of obtaining all information of …

The construction of binary sensing matrices is one of the active directions in the emerging
field of compressed sensing (CS). Due to their sparse structure and competitive …

Sensing matrix design is among the essential keys for compressive sensing to efficiently
reconstruct sparse signals. It has been demonstrated that sensing matrices, with improved …

In compressed sensing (CS), coherence is a simple and practical measure of the quality of a
sensing matrix. The smaller the coherence of the sensing matrix, the better the …

Compressive sensing (CS) aims at acquiring sparse or compressible signals at a sampling
rate much lower than Nyquist frequency. It allows for the original signal to be reconstructed …

For compressed sensing (CS) applications, it is significant to construct deterministic
measurement matrices with good practical features, including good sensing performance …

Unit norm tight frames are useful in providing stable reconstruction. Incoherence, restricted
isometry property and statistical restricted isometry property of a frame provide performance …