Frequency-hopping (FH) is one of the commonly used spread spectrum techniques that
finds wide applications in communications and radar systems due to its capability of low …

In this paper, we address the problem of spectrum estimation of multiple frequency-hopping
(FH) signals in the presence of random missing observations. The signals are analyzed …

In this paper, we propose a Bayesian compressive sensing algorithm for effective
reconstruction of sparse signals that demonstrate sparsity as continuous but irregular narrow …

In this paper, we propose an information-theoretic compressive measurement scheme for
the frequency hopping pattern recognition of frequency-hopping spread spectrum (FHSS) …

Compressive sensing (CS) is a new approach to simultaneous sensing and compression of
sparse and compressible signals based on randomized dimensionality reduction. To …

The frequency-hopping spread spectrum (FHSS) signals can be sparsely represented in
frequency domain at any given time. In this letter, we render a dictionary and propose non …

Improving the performance of spectrum sensing in cognitive radio (CR) systems by
exploiting sparse property via compressed sensing has been attracting a lot of research …

In this paper, we address the problem of spectrum estimation of frequency-hopping (FH)
signals in the presence of random missing samples. The signals are analyzed within the …

Sub-Nyquist sampling for spectrum sensing has the advantages of reducing the sampling
and computational complexity burdens. However, determining the sparsity of the underlying …

In cognitive radios (CR), compressive spectrum sensing (CSS) is a promising technique to
detect wideband spectrum holes with reduced sampling rate requirement of analog-to-digital …