This paper proposes a method that deploys nonuniform sampling and spectral analysis to perform reliable spectrum sensing using sampling rates well below the ones demanded by uniform-sampling-based DSP. It utilizes the Random Sampling on Grid (TRSG) scheme. The statistical characteristics of the endorsed periodogram-type estimator are presented for a finite set of noisy signal samples. Reliability guidelines that ensure the credibility of the detection procedure amid a sought system performance are derived. Unlike a number of previously reported nonuniform sampling schemes e.g. total random sampling, the employed TRSG provides safeguards making it more suitable for implementation in hardware
International audienceIn this paper, we are interested to the implementation of the spectrum sensing...
Periodic nonuniform sampling has been considered in literature as an effective approach to reduce th...
Abstract – In this paper the conventional equally spaced sampling technique for spectrum analysis is...
This paper presents a method that deploys nonuniform sampling and appropriates to it a processing al...
A wideband multichannel spectrum sensing approach that utilizes nonuniform sampling and digital alia...
This paper introduces a multiband spectrum sensing technique that deploys nonuniform stratified samp...
In this paper we analyse a class of DASP (Digital Alias-free Signal Processing) methods for spectrum...
In this paper we present a method of estimating power spectrum density of random ergodic signals. Th...
The aim of this project is to explore possibilities of implementing low-cost instruments such as spe...
The work presented in this thesis covers the design of various sampling/ processing schemes which al...
Cognitive radio is a mechanism allowing dynamic access to spectrum channels. Since its beginnings, r...
International audienceIn this paper, we propose an Energy Detector (ED) using random sampling for sp...
This work is a part of a drastic revolution in the classical signal processing chain required in mob...
In this paper we analyse and quantify the damage to the quality of spectrum estimation of discrete-t...
International audienceWe consider the problem of designing an effective sampling scheme for sparse m...
International audienceIn this paper, we are interested to the implementation of the spectrum sensing...
Periodic nonuniform sampling has been considered in literature as an effective approach to reduce th...
Abstract – In this paper the conventional equally spaced sampling technique for spectrum analysis is...
This paper presents a method that deploys nonuniform sampling and appropriates to it a processing al...
A wideband multichannel spectrum sensing approach that utilizes nonuniform sampling and digital alia...
This paper introduces a multiband spectrum sensing technique that deploys nonuniform stratified samp...
In this paper we analyse a class of DASP (Digital Alias-free Signal Processing) methods for spectrum...
In this paper we present a method of estimating power spectrum density of random ergodic signals. Th...
The aim of this project is to explore possibilities of implementing low-cost instruments such as spe...
The work presented in this thesis covers the design of various sampling/ processing schemes which al...
Cognitive radio is a mechanism allowing dynamic access to spectrum channels. Since its beginnings, r...
International audienceIn this paper, we propose an Energy Detector (ED) using random sampling for sp...
This work is a part of a drastic revolution in the classical signal processing chain required in mob...
In this paper we analyse and quantify the damage to the quality of spectrum estimation of discrete-t...
International audienceWe consider the problem of designing an effective sampling scheme for sparse m...
International audienceIn this paper, we are interested to the implementation of the spectrum sensing...
Periodic nonuniform sampling has been considered in literature as an effective approach to reduce th...
Abstract – In this paper the conventional equally spaced sampling technique for spectrum analysis is...