| 000 | 02987naaaa2200517uu 4500 | ||
|---|---|---|---|
| 003 | BUT | ||
| 005 | 20230410163838.0 | ||
| 006 | m o d | ||
| 007 | cr|mn|---annan | ||
| 008 | 20210501s2021 sz x |||||o ||||eng|| d | ||
| 020 | _a9783036500133 | ||
| 020 | _a9783036500126 | ||
| 020 | _a9783036500133 | ||
| 040 |
_aoapen _coapen |
||
| 041 | 0 | _aeng | |
| 042 | _adc | ||
| 080 | _a004,4 | ||
| 100 | 1 |
_aWoo, Wai Lok _4edt |
|
| 245 | 1 | 0 | _aSensor Signal and Information Processing III |
| 260 |
_aBasel, Switzerland _bMDPI - Multidisciplinary Digital Publishing Institute _c2021 |
||
| 300 | _a1 electronic resource (394 p.) | ||
| 506 | 0 |
_aOpen Access _2star _fUnrestricted online access |
|
| 520 | _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. | ||
| 540 |
_aCreative Commons _fhttps://creativecommons.org/licenses/by/4.0/ _2cc |
||
| 546 | _aEnglish | ||
| 650 | 0 |
_aПрограммное обеспечение _91402 |
|
| 653 | _aLong- and short-period errors | ||
| 653 | _aEquivalent bias angles | ||
| 653 | _aLinear array push-broom sensor | ||
| 653 | _aDeep learning | ||
| 653 | _aSignal detection | ||
| 653 | _aModulation classification | ||
| 653 | _aTensor SVD | ||
| 653 | _aADMM | ||
| 653 | _aKalman filter | ||
| 653 | _aMultiple-input multiple-output (MIMO) | ||
| 653 | _aFrequency-hopping code | ||
| 653 | _aDual-function radar-communications | ||
| 700 | 1 |
_aGao, Bin _4edt |
|
| 700 | 1 |
_aWoo, Wai Lok _4oth |
|
| 700 | 1 |
_aGao, Bin _4oth |
|
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://mdpi.com/books/pdfview/book/3377 _70 _zDownload |
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/68367 _70 _zDescription |
| 909 |
_c197 _dKhurliman Arzieva |
||
| 942 |
_2udc _cEE |
||
| 999 |
_c6393 _d6393 |
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