Results 11 to 20 of about 24,719 (256)
IEEE Access, 2018 The large-scale deployment of wireless sensor networks is indispensable to the success of Internet of Things. Considering dynamic spectrum access and the limited spectrum resources in cognitive radio sensor networks, sub-Nyquist spectrum sensing based on
Xue Wang, Min Jia, Xuemai Gu, Qing Guo
doaj +2 more sources
Low-Bit Quantization Methods for Modulated Wideband Converter Compressed Sensing [PDF]
2019 IEEE Global Communications Conference (GLOBECOM), 2019 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 of analog-to-digital converters (ADCs) are firstly simulated to the MWC and
L. Nguyen +4 more
semanticscholar +2 more sources
Code properties analysis for the implementation of a modulated wideband converter [PDF]
2017 25th European Signal Processing Conference (EUSIPCO), 2017 Publication in the conference proceedings of EUSIPCO, Kos island, Greece ...
Marguerite Marnat +3 more
semanticscholar +3 more sources
Blind Sub-Nyquist Spectrum Sensing With Modulated Wideband Converter
IEEE Transactions on Vehicular Technology, 2018 Rooted in the compressed sensing theory, sub-Nyquist spectrum sensing (SNSS) has been considered as a promising approach to dealing with difficulties and limitations of conventional wideband spectrum sensing in cognitive radio (CR) networks. Most existing SNSS methods require some prior knowledge of the monitored frequency bands, such as the spectrum ...
Peihan Qi +3 more
semanticscholar +2 more sources
Structured dictionary optimization: application to the modulated wideband converter
2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2019 We consider the Modulated Wideband Converter (MWC) architecture [3] that aims at sub-Nyquist reconstruction of sparse wideband signals. The goal of this paper is to optimize the selection of the periodic sequences which are used to alias the spectrum of ...
H. Mortada, O. Rabaste, Jonathan Bosse
semanticscholar +3 more sources
Multiband signal acquisition using improved modulated wideband converter
The Journal of Engineering, 2019 In this study, the authors stress the problem of sampling and recovering sparse wideband signals. A new methodology for sparse multiband signal acquisition using sinusoidal frequency modulation (SMF) multiplier-based modulated wideband converter (MWC) is
Changxin Cai +2 more
semanticscholar +2 more sources
Modulated wideband converter with run length limited sequences
IEICE Electronics Express, 2016 The modulated wideband converter (MWC) is a powerful subNyquist sampling system, which can acquire sparse wideband analog signal without prior information of frequency support.
E. Yang, Xiao Yan, Kaiyu Qin
semanticscholar +3 more sources
Broadband Spectrum Sensing of Distributed Modulated Wideband Converter Based on Markov Random Field
ETRI Journal, 2018 The Distributed Modulated Wideband Converter (DMWC) is a networking system developed from the Modulated Wideband Converter, which converts all sampling channels into sensing nodes with number variables to implement signal undersampling.
Zhi Li, Jiawei Zhu, Ziyong Xu, Wei Hua
doaj +2 more sources
Successive-phase correction calibration method for modulated wideband converter system
IET Signal Processing, 2019 The modulated wideband converter (MWC) is a sub-Nyquist sampling system recently proposed for sampling sparse multi-band signals. However, due to non-ideal analogue components, transfer-matrix calibration is required for the successful reconstruction. In
Ning Fu +3 more
semanticscholar +2 more sources
Sub-band equalization filter design for improving dynamic range performance of modulated wideband converter [PDF]
2017 25th European Signal Processing Conference (EUSIPCO), 2017 In this work, we propose an iterative method to improve the dynamic range performance of the Modulated Wideband Converter (MWC), which is multi-channel sampling system for digitizing wideband sparse signals below the Nyquist limit without loss of ...
Y. K. Alp, Gokhan Gok, A. Korucu
semanticscholar +4 more sources