Sensor Signal and Information Processing III

Sensor Signal and Information Processing III

In the current age of information explosion, newly invented technological sensors and software are now tightly integrated with our everyday lives. Many sensor processing algorithms have incorporated some forms of computational intelligence as part of their core framework in problem-solving. These al...

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HerausgeberIn:
Gao, Bin
Sonstige:
Woo, Wai Lok
Gao, Bin
Year of Publication:2021
Language:English
Physical Description:1 electronic resource (394 p.)
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id 993545828104498
ctrlnum (CKB)5400000000044598
(oapen)https://directory.doabooks.org/handle/20.500.12854/68367
(EXLCZ)995400000000044598
collection bib_alma
record_format marc
spelling Woo, Wai Lok edt
Sensor Signal and Information Processing III
Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
1 electronic resource (394 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
In the current age of information explosion, newly invented technological sensors and software are now tightly integrated with our everyday lives. Many sensor processing algorithms have incorporated some forms of computational intelligence as part of their core framework in problem-solving. These algorithms have the capacity to generalize and discover knowledge for themselves and to learn new information whenever unseen data are captured. The primary aim of sensor processing is to develop techniques to interpret, understand, and act on information contained in the data. The interest of this book is in developing intelligent signal processing in order to pave the way for smart sensors. This involves the mathematical advancement of nonlinear signal processing theory and its applications that extend far beyond traditional techniques. It bridges the boundary between theory and application, developing novel theoretically inspired methodologies targeting both longstanding and emergent signal processing applications. The topics range from phishing detection to integration of terrestrial laser scanning, and from fault diagnosis to bio-inspired filtering. The book will appeal to established practitioners, along with researchers and students in the emerging field of smart sensor signal processing.
English
History of engineering & technology bicssc
geometric calibration
long- and short-period errors
equivalent bias angles
sparse recovery
linear array push-broom sensor
deep learning
signal detection
modulation classification
the single shot multibox detector networks
the multi-inputs convolutional neural networks
medical image registration
similarity measure
non-rigid transformation
computational efficiency
registration accuracy
signal denoising
singular value decomposition
Akaike information criterion
reaction wheel
micro-vibration
permutation entropy (PE)
weighted-permutation entropy (W-PE)
reverse permutation entropy (RPE)
reverse dispersion entropy (RDE)
time series analysis
complexity
sensor signal
tensor principal component pursuit
stable recovery
tensor SVD
ADMM
kalman filter
nonlinear autoregressive
neural network
noise filtering
multiple-input multiple-output (MIMO)
frequency-hopping code
dual-function radar-communications
information embedding
mutual information (mi)
waveform optimization
spectroscopy
compressed sensing
inverse problems
dictionary learning
image registration
large deformation
weakly supervised
high-order cumulant
cyclic spectrum
decision tree-support vector machine
wind turbine
gearbox fault
cosine loss
long short-term memory network
indoor localization
CSI
fingerprinting
Bayesian tracking
image reconstruction
computed tomography
nonlocal total variation
sparse-view CT
low-dose CT
proximal splitting
row-action
brain CT image
audio signal processing
sound event classification
nonnegative matric factorization
blind signal separation
support vector machines
brain-computer interface
motor imagery
machine learning
internet of things
pianists
surface inspection
aluminum ingot
mask gradient response
Difference of Gaussian
inception-v3
EEG
sleep stage
wavelet packet
state space model
image captioning
three-dimensional (3D) vision
human-robot interaction
Laplacian scores
data reduction
sensors
Internet of Things (IoT)
LoRaWAN
3-0365-0012-X
3-0365-0013-8
Gao, Bin edt
Woo, Wai Lok oth
Gao, Bin oth
language English
format eBook
author2 Gao, Bin
Woo, Wai Lok
Gao, Bin
author_facet Gao, Bin
Woo, Wai Lok
Gao, Bin
author2_variant w l w wl wlw
b g bg
author2_role HerausgeberIn
Sonstige
Sonstige
title Sensor Signal and Information Processing III
spellingShingle Sensor Signal and Information Processing III
title_full Sensor Signal and Information Processing III
title_fullStr Sensor Signal and Information Processing III
title_full_unstemmed Sensor Signal and Information Processing III
title_auth Sensor Signal and Information Processing III
title_new Sensor Signal and Information Processing III
title_sort sensor signal and information processing iii
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2021
physical 1 electronic resource (394 p.)
isbn 3-0365-0012-X
3-0365-0013-8
illustrated Not Illustrated
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AT gaobin sensorsignalandinformationprocessingiii
status_str n
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carrierType_str_mv cr
is_hierarchy_title Sensor Signal and Information Processing III
author2_original_writing_str_mv noLinkedField
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