Results 221 to 230 of about 2,877 (265)

Application of Compressive Sensing (CS) to Wide-Band Cognitive Radio signals

International Uni-Scientific Research Journal, 2023
Compressive Sensing (CS) is a digital signal processing developed theory that encloses the signal sampling and compression, based on the sparsity characteristics of signal. This can decrease sampling rate, so reduce computational complexity of the system without degrading the performance of the system.
Mohammed Nagah, Shimaa Mostafa, Mohamed Megahed, Mohamed K. Salama   +3 more
openaire   +1 more source

Compressed Sensing (CS) for musical signal processing based on structured class of sensing matrices

2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), 2016
Compressed Sensing (CS) is a novel signal compression technique in which signal is compressed while sensing. The compressed signal is recovered with only few number of observations compared to conventional Shannon-Nyquist sampling and thus reducing the storage requirements.
Yuvraj V. Parkale, Sanjay L. Nalbalwar
openaire   +1 more source

ECO CS: Energy consumption optimized compressive sensing in group sensor networks

Computer Networks, 2018
Abstract Compressive sensing (CS) is a widely employed technique in sensor networks for energy-efficient data transmission. In recent years, the group-based network structures, e.g., regionalized and clustered networks, have been proposed to work with compressive sensing to reduce the energy cost of boundary sensors.
Hao Yang, Xiwei Wang
openaire   +1 more source

Demonstration of a DMD-based Compressive Sensing (CS) Spectral Imaging System

CLEO:2011 - Laser Applications to Photonic Applications, 2011
We present a DMD-based spectral imaging system, which uses a DMD to impose CS measurements on the spatial/spectral information of the imaging scene. The original spatial/spectral information can be reconstructed from the CS measurements numerically.
Yuehao Wu, Iftekhar O. Mirza, Gonzalo R. Arce, Dennis W. Prather   +3 more
openaire   +1 more source

Application of Compressed Sensing (CS) for ECG Signal Compression: A Review

2016
Compressed Sensing (CS) is a fast growing signal processing technique that compresses the signal while sensing and enables exact reconstruction of the signal if the signal is sparse with a few numbers of measurements only. This scheme results in reduction of storage requirement and low power consumption of system compared to Nyquist sampling theorem ...
Yuvraj V. Parkale, Sanjay L. Nalbalwar
openaire   +1 more source

AxC-CS: Approximate Computing for Hardware Efficient Compressed Sensing Encoder Design

2019 32nd IEEE International System-on-Chip Conference (SOCC), 2019
In this paper, we present an approximate computing framework for hardware-efficeint compressed sensing encoder design exploiting application-level error-resiliency, termed as AxC-CS (\underline {A}ppro\underline {x}imate \underline {C}omputing for \underline {C}ompressed \underline {S}ensing).
Wenfeng Zhao, Biao Sun, Jian Chen, Yajun Ha   +3 more
openaire   +1 more source

Compressed sensing (CS) MP2RAGE versus standard MPRAGE: A comparison of derived brain volume measurements

Physica Medica, 2022
T1 Magnetization Prepared Two Rapid Acquisition Gradient Echo (MP2RAGE) with compress sensing (CS) has been proposed as an improvement of the standard MPRAGE sequence with multiple advantages including reduced acquisition time needed to provide a quantitative 3D anatomical image coupled with T1-map. Here we investigated the agreement between FreeSurfer-
Ferraro P. M., Gualco L., Costagli M., Schiavi S., Ponzano M., Signori A., Massa F., Pardini M., Castellan L., Levrero F., Zaca D., Piredda G. F., Hilbert T., Kober T., Roccatagliata L.   +14 more
openaire   +3 more sources

Lightweight Compressed Sensing (CS) and Partial DCT Based Compression Schemes for Energy-Efficient Wearable PPG Monitoring Devices

2021 IEEE International Conference on Health, Instrumentation & Measurement, and Natural Sciences (InHeNce), 2021
Most wearable medical devices are designed to continuously acquire photoplethysmography (PPG) for measuring vital signs and transmitting acquired PPG data wirelessly to edge-computing device or cloud-computing server. These devices are constrained with limited battery power and data-rate capacity.
Gangireddy Narendra Kumar Reddy, M. Sabarimalai Manikandan, N. V. L. Narasimha Murty   +2 more
openaire   +1 more source

High-resolution MRI using compressed sensing-sensitivity encoding (CS-SENSE) for patients with suspected neurovascular compression syndrome: comparison with the conventional SENSE parallel acquisition technique

Clinical Radiology, 2019
To retrospectively compare sensitivity encoding (SENSE) and compressed sensing-sensitivity encoding (CS-SENSE) for high resolution (HR) cranial nerve magnetic resonance imaging (MRI) in a clinical population.Twenty consecutive patients who were clinically suspected of neurovascular compression syndrome (NVCS) were enrolled in this study.
S J, Cho, Y J, Choi, S R, Chung, J H, Lee, J H, Baek   +4 more
openaire   +2 more sources

An effective image compression–encryption scheme based on compressive sensing (CS) and game of life (GOL)

Neural Computing and Applications, 2020
At present, information entropies of cipher images gotten by some CS-based image cryptosystems are lower than 7, which make them vulnerable to entropy attack. To cope with this problem, we propose a novel image compression–encryption method based on compressive sensing (CS) and game of life (GOL). Encryption architecture of permutation, compression and
Zhihua Gan, Xiuli Chai, Jitong Zhang, Yushu Zhang, Yiran Chen   +4 more
openaire   +1 more source