LEADER 05863nam 2201477z- 450 001 9910557693303321 005 20231214133107.0 035 $a(CKB)5400000000044598 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/68367 035 $a(EXLCZ)995400000000044598 100 $a20202105d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSensor Signal and Information Processing III 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 electronic resource (394 p.) 311 $a3-0365-0012-X 311 $a3-0365-0013-8 330 $aIn 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. 606 $aHistory of engineering & technology$2bicssc 610 $ageometric calibration 610 $along- and short-period errors 610 $aequivalent bias angles 610 $asparse recovery 610 $alinear array push-broom sensor 610 $adeep learning 610 $asignal detection 610 $amodulation classification 610 $athe single shot multibox detector networks 610 $athe multi-inputs convolutional neural networks 610 $amedical image registration 610 $asimilarity measure 610 $anon-rigid transformation 610 $acomputational efficiency 610 $aregistration accuracy 610 $asignal denoising 610 $asingular value decomposition 610 $aAkaike information criterion 610 $areaction wheel 610 $amicro-vibration 610 $apermutation entropy (PE) 610 $aweighted-permutation entropy (W-PE) 610 $areverse permutation entropy (RPE) 610 $areverse dispersion entropy (RDE) 610 $atime series analysis 610 $acomplexity 610 $asensor signal 610 $atensor principal component pursuit 610 $astable recovery 610 $atensor SVD 610 $aADMM 610 $akalman filter 610 $anonlinear autoregressive 610 $aneural network 610 $anoise filtering 610 $amultiple-input multiple-output (MIMO) 610 $afrequency-hopping code 610 $adual-function radar-communications 610 $ainformation embedding 610 $amutual information (mi) 610 $awaveform optimization 610 $aspectroscopy 610 $acompressed sensing 610 $ainverse problems 610 $adictionary learning 610 $aimage registration 610 $alarge deformation 610 $aweakly supervised 610 $ahigh-order cumulant 610 $acyclic spectrum 610 $adecision tree-support vector machine 610 $awind turbine 610 $agearbox fault 610 $acosine loss 610 $along short-term memory network 610 $aindoor localization 610 $aCSI 610 $afingerprinting 610 $aBayesian tracking 610 $aimage reconstruction 610 $acomputed tomography 610 $anonlocal total variation 610 $asparse-view CT 610 $alow-dose CT 610 $aproximal splitting 610 $arow-action 610 $abrain CT image 610 $aaudio signal processing 610 $asound event classification 610 $anonnegative matric factorization 610 $ablind signal separation 610 $asupport vector machines 610 $abrain-computer interface 610 $amotor imagery 610 $amachine learning 610 $ainternet of things 610 $apianists 610 $asurface inspection 610 $aaluminum ingot 610 $amask gradient response 610 $aDifference of Gaussian 610 $ainception-v3 610 $aEEG 610 $asleep stage 610 $awavelet packet 610 $astate space model 610 $aimage captioning 610 $athree-dimensional (3D) vision 610 $ahuman-robot interaction 610 $aLaplacian scores 610 $adata reduction 610 $asensors 610 $aInternet of Things (IoT) 610 $aLoRaWAN 615 7$aHistory of engineering & technology 700 $aWoo$b Wai Lok$4edt$01327837 702 $aGao$b Bin$4edt 702 $aWoo$b Wai Lok$4oth 702 $aGao$b Bin$4oth 906 $aBOOK 912 $a9910557693303321 996 $aSensor Signal and Information Processing III$93038162 997 $aUNINA