| 書目名稱 | Recent Trends in Signal and Image Processing | | 副標(biāo)題 | ISSIP 2017 | | 編輯 | Siddhartha Bhattacharyya,Anirban Mukherjee,Kaori Y | | 視頻video | http://file.papertrans.cn/824/823499/823499.mp4 | | 概述 | Contains high-quality peer-reviewed papers on signal and image processing technologies.Provides interesting data and new results in communication engineering.Serves as a reference material for advance | | 叢書名稱 | Advances in Intelligent Systems and Computing | | 圖書封面 |  | | 描述 | This 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. T | | 出版日期 | Conference proceedings 2019 | | 關(guān)鍵詞 | Digital Signal Processing; Statistical Signal Processing; Image Processing; Speech Processing; Video Pro | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-10-8863-6 | | isbn_softcover | 978-981-10-8862-9 | | isbn_ebook | 978-981-10-8863-6Series ISSN 2194-5357 Series E-ISSN 2194-5365 | | issn_series | 2194-5357 | | copyright | Springer Nature Singapore Pte Ltd. 2019 |
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