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_aSpringerLink (Online service) _9106996 |
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_a10.1007/978-981-13-6783-0 _2doi |
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_bspa _dES-MaUEC _cES-MaUEC |
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_aTK5102.5 _b2019 EB |
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_aRecent Trends in Signal and Image Processing : _bProceedings of ISSIP 2018 _cedited by Siddhartha Bhattacharyya, Sankar K. Pal, Indrajit Pan, Abhijit Das. |
| 264 | 1 |
_aSingapore _bImprint: Springer _c2019. |
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| 300 |
_a1 recurso en línea (XX, 135 páginas) _b62 ilustraciones, 43 ilustraciones a color |
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| 336 |
_2rdacontent _aTexto _btxt |
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_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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_atext file _bPDF |
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_aAdvances in Intelligent Systems and Computing _x2194-5357 _v922 |
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| 490 | 0 | _aEngineering (Springer-11647) | |
| 505 | 0 | _aAssessment of UWAC System Performance using FBMC Technique -- Pyramid Based Multi-scale Enhancement Method for Iris Images -- Fuzzy based Classification for Fusion of Palmprint and Iris Biometric Traits -- Employing FPGA Accelerator in Real-time Speaker Identification Systems -- Character Recognition from Handwritten Image using Convolutional Neural Networks -- Malignant Melanoma Classification using Cross Platform Dataset with Deep Learning CNN Architecture -- Simple Exponential Smoothing and its Control Parameter: A Reassessment -- Quantum Inspired BAT Optimization Algorithm for Automatic Clustering of Gray Scale Images -- Face Detection and Expression Recognition using Haar - Cascade Classifier and Fisherface Algorithm. | |
| 520 | 3 | _aThis book presents fascinating, state-of-the-art research findings in the field of signal and image processing. It includes conference papers covering a wide range of signal processing applications involving filtering, encoding, classification, segmentation, clustering, feature extraction, denoising, watermarking, object recognition, reconstruction and fractal analysis. It addresses various types of signals, such as image, video, speech, non-speech audio, handwritten text, geometric diagram, ECG and EMG signals; MRI, PET and CT scan images; THz signals; solar wind speed signals (SWS); and photoplethysmogram (PPG) signals, and demonstrates how new paradigms of intelligent computing, like quantum computing, can be applied to process and analyze signals precisely and effectively. The book also discusses applications of hybrid methods, algorithms and image filters, which are proving to be better than the individual techniques or algorithms. . | |
| 988 | _aPrimersemestre_2019_Engineering | ||
| 650 | 7 |
_2embne _aProceso de señales _xcongresos y asambleas _9150608 |
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| 700 | 1 |
_aBhattacharyya, Siddhartha, _d1975- _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9100498 |
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| 700 | 1 |
_aDas, Abhijit. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aPal, Sankar K. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aPan, Indrajit. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 776 | 0 | 8 |
_iPrinted edition: _z9789811367823 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811367847 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-13-6783-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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_2lcc _cLE |
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| 998 |
_aSI _cm _dz _feng _ggw _h0 _b10/2019 _ek _zSI |
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