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Titlebook: Recent Trends in Signal and Image Processing; ISSIP 2020 Siddhartha Bhattacharyya,Leo Mršić,Mario Koeppen Conference proceedings 2021 The E

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发表于 2025-3-21 16:37:34 | 显示全部楼层 |阅读模式
书目名称Recent Trends in Signal and Image Processing
副标题ISSIP 2020
编辑Siddhartha Bhattacharyya,Leo Mršić,Mario Koeppen
视频video
概述Presents research works in the field of signal and image processing.Results of ISSIP 2020 held at Kolkata, West Bengal, India during March 18-19, 2020.Serves as a reference for researchers and practit
丛书名称Advances in Intelligent Systems and Computing
图书封面Titlebook: Recent Trends in Signal and Image Processing; ISSIP 2020 Siddhartha Bhattacharyya,Leo Mršić,Mario Koeppen Conference proceedings 2021 The E
描述This book gathers selected papers presented at the Third International Symposium on Signal and Image Processing (ISSIP 2020), organized by the Department of Information Technology, RCC Institute of Information Technology, Kolkata, during March 18–19, 2020. It 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..
出版日期Conference proceedings 2021
关键词ISSIP 2020 Conference Proceedings; Digital Signal Processing; Remote Sensing Imagery; Video compression
版次1
doihttps://doi.org/10.1007/978-981-33-6966-5
isbn_softcover978-981-33-6965-8
isbn_ebook978-981-33-6966-5Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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发表于 2025-3-21 21:19:44 | 显示全部楼层
https://doi.org/10.1007/978-981-33-6966-5ISSIP 2020 Conference Proceedings; Digital Signal Processing; Remote Sensing Imagery; Video compression
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Recent Trends in Signal and Image Processing978-981-33-6966-5Series ISSN 2194-5357 Series E-ISSN 2194-5365
发表于 2025-3-22 09:00:29 | 显示全部楼层
Siddhartha Bhattacharyya,Leo Mršić,Mario KoeppenPresents research works in the field of signal and image processing.Results of ISSIP 2020 held at Kolkata, West Bengal, India during March 18-19, 2020.Serves as a reference for researchers and practit
发表于 2025-3-22 12:59:05 | 显示全部楼层
Implementing a Hardware Accelerator to Enhance the Recognition Performance of the Fruit Mature, that the color-threshold technique required 16% of the total logic elements and performed the recognition task in 10.25 ms. In contrast, the k-means clustering technique required 62% of the logic elements and performed the recognition task in 64.88 ms. Thus, color-threshold technique is more efficient and much faster than the k-means technique.
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Intelligent Hybrid Technique to Secure Bluetooth Communications,onnected using Bluetooth technique. Because of the advantages of key management of the MD5 algorithm, we used it to encrypt the secret key of Blowfish algorithm which used for encryption of plaintext. Therefore, the proposed hybrid encryption (Blowfish and MD5) will positively improve the data security during communication in Bluetooth media.
发表于 2025-3-23 07:18:22 | 显示全部楼层
A Fog-Based Retrieval of Real-Time Data for Health Applications,t the edge of the network. In this paper, we use a fog computing network approach for efficiently retrieving the real-time patient data. The performance of our proposed approach has been compared with the cloud computing approach in terms of retrieval time of real-time data.
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