Results 41 to 50 of about 13,996 (160)

Adaptive Detection of Direct-Sequence Spread-Spectrum Signals Based on Knowledge-Enhanced Compressive Measurements and Artificial Neural Networks

Sensors, 2021
The direct-sequence spread-spectrum (DSSS) technique has been widely used in wireless secure communications. In this technique, the baseband signal is spread over a wider bandwidth using pseudo-random sequences to avoid interference or interception.
Shuang Zhang, Feng Liu, Yuang Huang, Xuedong Meng   +3 more
doaj   +1 more source

Imaging via Compressive Sampling [PDF]

IEEE Signal Processing Magazine, 2008
Image compression algorithms convert high-resolution images into a relatively small bit streams in effect turning a large digital data set into a substantially smaller one. This article introduces compressive sampling and recovery using convex programming.
openaire   +1 more source

Achieving Robust Compressive Sensing Seismic Acquisition with a Two-Step Sampling Approach

Sensors, 2023
The compressive sensing (CS) framework offers a cost-effective alternative to dense alias-free sampling. Designing seismic layouts based on the CS technique imposes the use of specific sampling patterns in addition to the logistical and geophysical ...
Anna Titova, Michael B. Wakin, Ali C. Tura   +2 more
doaj   +1 more source

Sparse Signal Reconstruction using Weight Point Algorithm

Journal of ICT Research and Applications, 2018
In this paper we propose a new approach of the compressive sensing (CS) reconstruction problem based on a geometrical interpretation of l1-norm minimization.
Koredianto Usman, Hendra Gunawan, Andriyan B. Suksmono   +2 more
doaj   +1 more source

Satellite-Based Wireless Sensor Development and Deployment Studies for Surface Wave Testing

Sensors, 2019
Although cable-based seismic sensing systems have provided reliable data in the past several decades, they become a bottleneck for large-area monitoring and critical environmental (volcanic eruptions) sensing because of their cost, difficulty in ...
Pengju Xu, Wentao Wang
doaj   +1 more source

Deep Sensing for Compressive Video Acquisition

Sensors, 2023
A camera captures multidimensional information of the real world by convolving it into two dimensions using a sensing matrix. The original multidimensional information is then reconstructed from captured images.
Michitaka Yoshida, Akihiko Torii, Masatoshi Okutomi, Rin-ichiro Taniguchi, Hajime Nagahara, Yasushi Yagi   +5 more
doaj   +1 more source

Compressive Sampling of EEG Signals with Finite Rate of Innovation

EURASIP Journal on Advances in Signal Processing, 2010
Analyses of electroencephalographic signals and subsequent diagnoses can only be done effectively on long term recordings that preserve the signals' morphologies.
Poh Kok-Kiong, Marziliano Pina
doaj   +2 more sources

Distributed cooperative spectrum sensing based on consensus optimization

Tongxin xuebao, 2011
A distributed wideband spectrum compressive sensing approach based on consensus optimization was developed.The cognitive radio users firstly collected the time-domain sampling by compressive sampling and recover the local spectrum.Then the spectrum of ...
ZENG Fan-zi, LIU Jie, LI Ren-fa, ZENG Qing-guang   +3 more
doaj  

The Optimally Designed Deep Autoencoder-Based Compressive Sensing Framework for 1D and 2D Signals

IEEE Access
The capacity of Compressive Sensing (CS) to recreate original data from a limited number of samples has led to a surge in attention in recent years.
Irfan Ahmed, Lunchakorn Wuttisittikulkij, Aftab Khan, Abid Iqbal   +3 more
doaj   +1 more source

Sub-Nyquist Cyclostationary Detection of GFDM for Wideband Spectrum Sensing

IEEE Access, 2019
Spectrum scarcity is a challenging problem in wireless communications: high data rates are needed to support 5G new technologies. However, the spectrum is underutilized.
Noura A. El-Alfi, Heba M. Abdel-Atty, Mohamed A. Mohamed   +2 more
doaj   +1 more source