This paper presents a new method for automatic radio spectrum segmentation. Spectrum
segmentation serves as a first step to identify the subbands that are in use at a certain time …

Spectrum sensing is a key factor for either the development of Cognitive Radio or the
implementation of instruments able to automatically monitor the radio spectrum. Within the …

In this paper, we investigate the problem of wideband spectrum sensing for detecting vacant
frequency subbands in opportunistic cognitive radio. To this end, we identify the …

In cognitive radio networks, the first cognitive task preceding any form of dynamic spectrum
management is the sensing and identification of spectrum holes in wireless environments …

Signal detection of primary users for cognitive radios enables spectrum use agility. In normal
operation conditions, the sensed spectrum is nonflat, ie, the power spectrum is not constant …

Cognitive Radio networks demand a fast and accurate wideband spectrum sensing in order
to operate successfully and achieve efficient spectrum utilization. The wavelet transform …

In Cognitive Radio Network an efficient fast and accurate wideband spectrum sensing
technique is highly required to identify the spectrum holes in wireless environment to …

A novel approach for wideband spectrum segmentation is proposed. The proposed method,
called segmented periodogram, is based on the posterior expectation of the piece-wise flat …

This paper presents a novel technique in spectrum sensing based on a new characterization
of primary users signals in wideband communications. First, we have to remind that in …

Since a cognitive radio does not have fixed spectra, it may need to sense a very large
frequency range to find an available band. The sensed aggregate bandwidth could be as …