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020 _a9789811088636
024 7 _a10.1007/978-981-10-8863-6
_2doi
040 _bspa
_dES-MaUEC
_cES-MaUEC
050 4 _aTK5102.9
_b2019 EB
245 0 0 _aRecent Trends in Signal and Image Processing :
_bISSIP 2017
_cedited by Siddhartha Bhattacharyya, Anirban Mukherjee, Hrishikesh Bhaumik, Swagatam Das, Kaori Yoshida.
264 1 _aSingapore
_bSpringer Singapore :
_bImprint: Springer
_c2019.
300 _a1 recurso en línea (XVI, 218 páginas)
_b84 ilustraciones
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aAdvances in Intelligent Systems and Computing
_x2194-5357
_v727
490 0 _aEngineering (Springer-11647)
505 0 _aPreface -- Dedication -- Table of Contents -- About the Editors -- 21 Papers -- Author Index.
520 3 _aThis book contains interesting findings of some state-of-the-art research in the field of signal and image processing. It contains twenty one chapters covering a wide range of signal processing applications involving filtering, encoding, classification, segmentation, clustering, feature extraction, denoising, watermarking, object recognition, reconstruction and fractal analysis. Various types of signals including 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 have been dealt with. It demonstrates how new paradigms of intelligent computing like quantum computing can be applied to process and analyze signals in a most precise and effective manner. Processing of high precision signals for real time target recognition by radar and processing of brain images, ECG and EMG signals that feature in this book have significant implications in defense mechanism and medical diagnosis. There are also applications of hybrid methods, algorithms and image filters which are proving to be better than the individual techniques or algorithms. Thus the present volume, enriched in depth and variety of techniques and algorithms concerning processing of various types of signals, is likely to be used as a compact yet handy reference for the young researchers, academicians and scientists working in the domain of signal and image processing and also to the post graduate students of computer science and information technology. .
988 _aPrimersemestre_2019_Engineering
650 7 _2embne
_9150609
_aProceso digital de señales
_xCongresos y asambleas
650 7 _2embne
_aProceso digital de imágenes
_xCongresos y asambleas
_9413188
700 1 _aBhattacharyya, Siddhartha,
_d1975-
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9100498
700 1 _aBhaumik, Hrishikesh.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aDas, Swagatam
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_998976
700 1 _aMukherjee, Anirban.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aYoshida, Kaori.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
776 0 8 _iPrinted edition:
_z9789811088629
776 0 8 _iPrinted edition:
_z9789811088643
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-10-8863-6
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _aSI
_cm
_dz
_feng
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_h0
_b08/2019
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