This thesis aims to exploit the state-of-art of the Modulated Wideband Converter (MWC) and
Compressed Sensing (CS) technology, to monitor and detect a wideband spectrum, without …

This paper presents an implementation of the Modulated Wideband Converter (MWC)
compressed sensing scheme using Commercial Off-The-Shelf (COTS) low-pass filter (SXLP …

This paper focuses on non-ideal filters in a Modulated Wideband Converter (MWC) scheme.
The MWC is a system that can sample a sparse wideband signal at sub-Nyquist rate …

As a sub-Nyquist sampling structure based on compressed sensing (CS), modulated
wideband converter (MWC) was proposed to overcome the sampling rate limitation of …

The limited availability of radio frequency spectrum demands for more efficient ways to
utilize it in future wireless networks. Spectrum sharing radios are an interesting solution to …

In order to reduce the computational complexity of frequency spectrum analysis, we aim to
investigate spectrum directly from compressed sampling datum based on Modulated …

This paper studies the impacts of transmitters power levels on spectrum reconstruction
performances in order to monitor a wideband spectrum. A sub-Nyquist blind sampling …

Abstract The Compressed Sensing (CS) approach allows sampling of signals below the
conventional Nyquist rate, if signals are sparse in some basis. Basically, the CS framework …

This paper studies the impacts of low-bit quantization to wideband signal reconstruction with
a sub-Nyquist sampling scheme Modulated Wideband Converter (MWC). Several real types …

Concerning sub-Nyquist sampling, this paper continues research on the modulated
wideband converter (MWC), which uses compressed sensing (CS) to sample multiband …