signal reconstruction

biblio

Reducing the Root-Mean-Square Error at Signal Restoration using Discrete and Random Changes in the Sampling Rate for the Compressed Sensing Problem

Submitted by grigby1 on Fri, 08/12/2022 - 8:58am

machine learning algorithms
pubcrawl
resilience
Resiliency
process control
composability
real-time systems
Market research
Image coding
compressive sensing
compressive sampling
random sampling
signal reconstruction
Signal restoration

biblio

A GUI for Wideband Spectrum Sensing using Compressive Sampling Approaches

Submitted by aekwall on Mon, 09/14/2020 - 11:31am

Nyquist sampling rates
device communications
effective spectral resource utilization
formidable owing
graphical user interface
graphical user interface (GUI)
measurement vectors
modulated wideband converter
Modulated Wideband Converter (MWC)
multiple measurement vector framework
MWC
newer spectral opportunities
compressive sampling approaches
orthogonal matching pursuit
orthogonal matching pursuit (OMP)
prominent solution
rapidly growing device
SBL approach
Sparse Bayesian Learning (SBL)
Sparse Bayesian Learning algorithms
spectral support
support recovery
wideband spectrum sensing
Wideband
cyber-physical systems
Resiliency
pubcrawl
composability
Iterative methods
privacy
Signal to noise ratio
radio networks
sensors
signal detection
graphical user interfaces
Bayes methods
radio spectrum management
compressed sensing
Matching pursuit algorithms
OMP
GUI
cognitive radio
compressive sampling
signal sampling
signal reconstruction
cognitive radio networks

biblio

Jointly Optimized Target Detection and Tracking Using Compressive Samples

Submitted by aekwall on Mon, 09/14/2020 - 11:30am

compressive samples
tracking algorithm
sparse signals
signal reconstruction
Radar tracking
radar target detection
radar detection
joint target detection
joint performance metric
joint detection and tracking
joint decision and estimation
joint CSP Bayesian approach
high-resolution radar signals
CSP-JDT
Detectors
radar resolution
signal sampling
compressive sampling
compressed sensing
object detection
estimation
target tracking
privacy
composability
pubcrawl
Resiliency
cyber-physical systems
Bayes methods

biblio

Compressive Detection of Random Signals from Sparsely Corrupted Measurements

Submitted by grigby1 on Tue, 12/10/2019 - 10:21am

privacy
testing
Task Analysis
sparsely corrupted measurements
Sparse matrices
sparse error
signal reconstruction
signal processing tasks
signal processing
signal detection problem
signal detection
Resiliency
resilience
random signals
pubcrawl
composability
Noise
Detectors
detection
dense noise
data amount
cyber physical systems
Cyber Physical System
Current measurement
CSP techniques
CS reconstruction
compressive sampling
compressive detection problem
Compressive detection
compressed sensing

biblio

Compressed Sensing based Intrusion Detection System for Hybrid Wireless Mesh Networks

Submitted by aekwall on Wed, 01/16/2019 - 1:06pm

Logic gates
wireless networks
wireless mesh networks
sparse signal reconstruction
sparse original signals
signal reconstruction
resilience
pubcrawl
power consumption
PHY layer
Peer-to-peer computing
Overhead
Metrics
Measurement
active state metric
intrusion detection system
Intrusion Detection
hybrid WMN
hybrid wireless mesh networks
high detection overhead
energy consumption
detecting intrusions
computer network security
compressive sampling
compressive sampled data
compressed sensing theory
compressed sensing
composability

biblio

Detection with compressive measurements corrupted by sparse errors

Submitted by grigby1 on Thu, 08/23/2018 - 10:41am

Nyquist-rate samples
sparse signal representation
Sparse matrices
sparse error corruption
signal sampling
signal reconstruction algorithms
signal reconstruction
signal processing
signal detection
Resiliency
resilience
pubcrawl
privacy
composability
Noise measurement
narrowband interference
measurement uncertainty
interference (signal)
impulse noise
Image reconstruction
Distortion measurement
Detectors
cyber-physical systems
compressive sampling
compressive measurement detection problem
compressed sensing

biblio

"DPCM-quantized block-based compressed sensing of images using Robbins Monro approach"

Submitted by grigby1 on Tue, 02/21/2017 - 11:49am

Image coding
signal reconstruction
Robbins Monro approach
RM approach
pubcrawl170104
parametric iterative CS reconstruction technique
Nyquist rate
Lempel-Ziv-Welch channel coding technique
Lempel-Ziv-Welch channel coding
Iterative methods
Image reconstruction
block SPL algorithm
frequency-domain analysis
frequency domain filtering
Filtering
DPCM-quantized block-based compressed sensing
differential pulse coded modulation
Differential pulse code modulation component
differential pulse code modulation
compressive sampling
compressed sensing
channel coding

biblio

"Time of flight measurements for optically illuminated underwater targets using Compressive Sampling and Sparse reconstruction"

Submitted by grigby1 on Tue, 02/21/2017 - 11:41am

matched filters
turbidity
turbid underwater environment
sparse reconstruction theory
Sparse Reconstruction
Signal resolution
signal reconstruction
sensors
Receivers
radar resolution
pubcrawl170104
optically illuminated underwater target
optical radar
Nyquist sampling theorem
mixing signal processing method
Bandwidth
matched filter signal processing method
marine radar
linearly frequency modulated continuous wave hybrid radar system
linearly frequency modulated continuous wave hybrid lidar system
Laser radar
high resolution time of flight measurement
Frequency modulation
Frequency Chirp
FMCW Lidar
down-conversion signal processing method
compressive sensing theory
compressive sampling
compressed sensing
Chirp

biblio

"An improved speech enhancement approach based on combination of compressed sensing and Kalman filter"

Submitted by grigby1 on Tue, 02/21/2017 - 11:33am

noisy speech signal reconstruction
Wiener filters
Wiener filter
speech enhancement techniques
speech enhancement
Speech
Spectral Subtraction
signal subspace
signal reconstruction
pubcrawl170104
objective measures
compressed sensing
Noise measurement
MMSE
Mathematical model
least mean squares methods
Kalman filters
Kalman filter
improved speech enhancement approach
CoSaMP algorithm
compressive sampling matching pursuit

biblio

"Model calibration for compressive sampling system with non-ideal lowpass filter"

Submitted by grigby1 on Tue, 02/21/2017 - 11:30am

low-pass filters
Wideband
test signal technique
signal reconstruction
pubcrawl170104
probability
nonideal analog lowpass filter
MWC
multiband sparse
modulated wideband converter
model calibration algorithm
model calibration
Matrix converters
LPF
calibration
Frequency modulation
Frequency measurement
Frequency conversion
FIR filters
FIR estimation
finite impulse response estimation
digital compensation filter
compressive sampling system
compressive sampling
compressed sensing
compensation filter
compensation

1
2
next ›
last »

Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

signal reconstruction

Reducing the Root-Mean-Square Error at Signal Restoration using Discrete and Random Changes in the Sampling Rate for the Compressed Sensing Problem

A GUI for Wideband Spectrum Sensing using Compressive Sampling Approaches

Jointly Optimized Target Detection and Tracking Using Compressive Samples

Compressive Detection of Random Signals from Sparsely Corrupted Measurements

Compressed Sensing based Intrusion Detection System for Hybrid Wireless Mesh Networks

Detection with compressive measurements corrupted by sparse errors

"DPCM-quantized block-based compressed sensing of images using Robbins Monro approach"

"Time of flight measurements for optically illuminated underwater targets using Compressive Sampling and Sparse reconstruction"

"An improved speech enhancement approach based on combination of compressed sensing and Kalman filter"

"Model calibration for compressive sampling system with non-ideal lowpass filter"