Determining the optimal conditions for signal reconstruction based on STFT magnitude
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Speech Technology"
DOI: 10.1007/s10772-018-9522-9
Abstract: Signal reconstruction from a given sequence of short-time Fourier transform magnitude spectra without phase information has been a challenging topic since many years. The key issue is how to invert a sequence of overlapping magnitude… read more here.
Keywords: magnitude; optimal conditions; conditions signal; signal reconstruction ... See more keywords
A linearly convergent algorithm for sparse signal reconstruction
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Fixed Point Theory and Applications"
DOI: 10.1007/s11784-018-0635-1
Abstract: For the sparse signal reconstruction problem in compressive sensing, we propose a projection-type algorithm without any backtracking line search based on a new formulation of the problem. Under suitable conditions, global convergence and its linear… read more here.
Keywords: sparse signal; algorithm sparse; signal reconstruction; linearly convergent ... See more keywords
Interpolation method for wideband signal reconstruction based on blade tip timing measurement
Sign Up to like & getrecommendations! Published in 2021 at "Measurement"
DOI: 10.1016/j.measurement.2021.109168
Abstract: Abstract Blade tip timing (BTT) technique has become a promising way of online damage diagnosis for compressor and turbine blades by monitoring their vibrations. However, there are some disadvantages in previous algorithms for BTT signals,… read more here.
Keywords: tip timing; blade tip; wideband signal; signal reconstruction ... See more keywords
ECG Signal Reconstruction via Doppler Sensor by Hybrid Deep Learning Model With CNN and LSTM
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3009266
Abstract: An Electrocardiogram (ECG) is a typical method used to detect heartbeat, and an ECG signal analysis enables the detection of some heart diseases. However, the ECG-based heartbeat detection requires device attachment, which is not preferred… read more here.
Keywords: ecg signal; doppler sensor; deep learning; signal reconstruction ... See more keywords
Event-Driven Model Predictive Controller for State Constrained Systems: An Input Signal Reconstruction Method
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3080671
Abstract: A novel event-driven model predictive control (MPC) technique is constructed for perturbed nonlinear system including both input and state constraints. The primary merit of the developed method is the event-driven input signal is constructed based… read more here.
Keywords: input signal; event driven; event; signal reconstruction ... See more keywords
Haptic Signal Reconstruction in eHealth Internet of Things
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3132771
Abstract: With the haptic technology continuously enlarging the eHealth Industry Internet of Things (IIoT) ecosystem, haptic perception service which requires effective haptic signal reconstruction for immersive experience has become an indispensable function. However, the majority of… read more here.
Keywords: signal reconstruction; ehealth; reconstruction; internet things ... See more keywords
Improved Signal Reconstruction Algorithm for Multichannel SAR Based on the Doppler Spectrum Estimation
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2016.2618518
Abstract: For high-resolution wide-swath synthetic aperture radar imaging algorithms, signal reconstruction is a key step. The steering vector plays an important role in signal reconstruction, which can be constructed by the ambiguity components. The information of… read more here.
Keywords: reconstruction; estimation; doppler spectrum; signal reconstruction ... See more keywords
Signal Reconstruction With Semidefinite Relaxation Optimization in Uplink Massive MIMO Systems
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2020.3025633
Abstract: In this letter, we consider a single group massive MIMO (Multi-Input Multi-Output) system, which consists of one receiver deployed with large number of antennas and multiple users with each having single antenna. In the uplink… read more here.
Keywords: reconstruction; optimization; semidefinite relaxation; signal reconstruction ... See more keywords
Deep Learning Based Compressive Sensing for UWB Signal Reconstruction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3181891
Abstract: Compressive sensing(CS) can greatly reduce the number of sampling points of signals, and therefore it is widely adopted in ultra-wideband(UWB) sensor systems. However, how to reconstruct the sensing signal from the compressed signal accurately is… read more here.
Keywords: sensing uwb; signal reconstruction; reconstruction; deep learning ... See more keywords
Compressed sensing with continuous parametric reconstruction
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Electrical and Computer Engineering"
DOI: 10.11591/ijece.v11i1.pp851-862
Abstract: This work presents a novel unconventional method of signal reconstruction after compressive sensing. Instead of usual matrices, continuous models are used to describe both the sampling process and acquired signal. Reconstruction is performed by finding… read more here.
Keywords: reconstruction; continuous parametric; sensing continuous; parametric reconstruction ... See more keywords
Broadband signal reconstruction for SHM: An experimental and numerical time reversal methodology
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Intelligent Material Systems and Structures"
DOI: 10.1177/1045389x20972474
Abstract: Structural Health Monitoring (SHM) aims to shift aircraft maintenance from a time-based to a condition-based approach. Within all the SHM techniques, Acoustic Emission (AE) allows for the monitoring of large areas by analyzing Lamb waves… read more here.
Keywords: methodology; reversal methodology; signal reconstruction; time reversal ... See more keywords