Browsing by Subject "Compressive sensing"
Now showing items 1-17 of 17
-
A sparsity-aware approach for NBI estimation and mitigation in large cognitive radio networks
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)Underlay cognitive networks should follow strict interference thresholds to operate in parallel with primary networks. This constraint limits their transmission power and eventually the coverage area. Therefore, in this ... -
Adaptive compression and optimization for real-time energy-efficient wireless EEG monitoring systems
( IEEE , 2013 , Conference Paper)Recent technological advances in wireless body sensor networks (WBSN) have made it possible for the development of innovative medical applications to improve health care and the quality of life. Electroencephalography ... -
An Adaptive Joint Sparsity Recovery for Compressive Sensing Based EEG System
( Hindawi Limited , 2017 , Article)The last decade has witnessed tremendous efforts to shape the Internet of things (IoT) platforms to be well suited for healthcare applications. These platforms are comprised of a network of wireless sensors to monitor ... -
Compressive sensing based ecg biometric system
( Springer Verlag , 2018 , Conference Paper). The Internet of Things (IoT) has started redesigning the paradigm of the connected health sector by leveraging the availability of low power, low-cost sensors and efficient communication protocols. Consequently, IoT based ... -
Compressive sensing based electronic nose platform
( Elsevier , 2017 , Article)Electronic nose (EN) systems play a significant role for gas monitoring and identification in gas plants. Using an EN system which consists of an array of sensors provides a high performance. Nevertheless, this performance ... -
Convolutional Sparse Support Estimator Network (CSEN): From Energy-Efficient Support Estimation to Learning-Aided Compressive Sensing
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Support estimation (SE) of a sparse signal refers to finding the location indices of the nonzero elements in a sparse representation. Most of the traditional approaches dealing with SE problems are iterative algorithms ... -
Design and analysis of an adaptive compressive sensing architecture for epileptic seizure detection
( IEEE Computer Society , 2013 , Conference Paper)Epileptic detection techniques rely heavily on the Electroencephalography (EEG) as a representative signal carrying valuable information pertaining to the current brain state. In this work, we investigate the stability of ... -
Design and evaluation of vivado HLS-Based compressive sensing for ECG signal analysis
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)This paper proposes an efficient implementation of the compressed sensing technique. Specifically, we present an architecture for implementing the Matching pursuit algorithm using the Vivado High-Level Synthesis Tool. The ... -
Energy-efficient on-board processing technique for wireless epileptic seizure detection systems
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)The growth of wireless body area sensor networks (WBASNs) has led the way to advancements In healthcare applications and patient monitoring systems; epileptic seizure lies at the heart of these promising technologies. For ... -
Iterative compressive estimation and decoding for network-channel-coded two-way relay sparse ISI channels
( IEEE , 2012 , Article)We propose an iterative compressive channel estimation and decoding scheme for network-channel-coded two-way relay sparse intersymbol interference channels. The underlying system model comprises two source nodes and one ... -
Matching pursuit-based compressive sensing in a wearable biomedical accelerometer fall diagnosis device
( Elsevier Ltd , 2017 , Article)There is a significant high fall risk population, where individuals are susceptible to frequent falls and obtaining significant injury, where quick medical response and fall information are critical to providing efficient ... -
Performance evaluation for compression-accuracy trade-off using compressive sensing for EEG-based epileptic seizure detection in wireless tele-monitoring
( IEEE , 2013 , Conference Paper)Brain is the most important part in the human body controlling muscles and nerves; Electroencephalogram (EEG) signals record brain electric activities. EEG signals capture important information pertinent to different ... -
Real-time ECG monitoring using compressive sensing on a heterogeneous multicore edge-device
( Elsevier , 2020 , Article)In a typical ambulatory health monitoring systems, wearable medical sensors are deployed on the human body to continuously collect and transmit physiological signals to a nearby gateway that forward the measured data to ... -
Secondary users selection and sparse narrow-band interference mitigation in cognitive radio networks
( Elsevier B.V. , 2018 , Article)Spectrum scarcity is a critical problem that may reduce the effectiveness of wireless technologies and services. To address this problem, different spectrum management techniques have been proposed in the literature such ... -
Sparsity-aware narrowband interference mitigation and subcarriers selection in OFDM-based cognitive radio networks
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)In this paper, the performance of an orthogonal frequency division multiplexing overlay cognitive radio network with subcarrier selection schemes is investigated. We propose three subcarrier selection techniques that reduce ... -
Sparsity-Based Joint NBI and impulse noise mitigation in hybrid PLC-Wireless transmissions
( IEEE , 2018 , Article)We propose a new sparsity-aware framework to model and mitigate the joint effects of narrow-band interference (NBI) and impulsive noise (IN) in hybrid powerline and unlicensed wireless communication systems. The proposed ... -
The accuracy and efficacy of real-time compressed ECG signal reconstruction on a heterogeneous multicore edge-device
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)Typical real-time remote health monitoring architectures consist of wearable medical devices continuously transmitting physiological signals to a nearby gateway which routes the data to an remote internet of things ...