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Titlebook: Communications, Signal Processing, and Systems; Proceedings of the 2 Qilian Liang,Xin Liu,Baoju Zhang Conference proceedings 2020 Springer

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書目名稱Communications, Signal Processing, and Systems
副標(biāo)題Proceedings of the 2
編輯Qilian Liang,Xin Liu,Baoju Zhang
視頻videohttp://file.papertrans.cn/231/230546/230546.mp4
概述Brings together the papers presented at the 2018 International Conference on Communications, Signal Processing, and Systems held in Dalian, China on July 14–16, 2018.Includes the latest developments i
叢書名稱Lecture Notes in Electrical Engineering
圖書封面Titlebook: Communications, Signal Processing, and Systems; Proceedings of the 2 Qilian Liang,Xin Liu,Baoju Zhang Conference proceedings 2020 Springer
描述.This book brings together papers from the 2018 International Conference on Communications, Signal Processing, and Systems, which was held in Dalian, China on July 14–16, 2018. Presenting the latest developments and discussing the interactions and links between these multidisciplinary fields, the book spans topics ranging from communications, signal processing and systems. It is aimed at undergraduate and graduate electrical engineering, computer science and mathematics students, researchers and engineers from academia and industry as well as government employees..
出版日期Conference proceedings 2020
關(guān)鍵詞CSPS 2018 proceedings; Wireless Communications; Internet of Things; Signal Processing for Communication
版次1
doihttps://doi.org/10.1007/978-981-13-6504-1
isbn_softcover978-981-13-6506-5
isbn_ebook978-981-13-6504-1Series ISSN 1876-1100 Series E-ISSN 1876-1119
issn_series 1876-1100
copyrightSpringer Nature Singapore Pte Ltd. 2020
The information of publication is updating

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Image-Based Detecting the Level of Water Using Dictionary Learning obtained easily from a camera installed on the bank. Based on the property of the images captured by the camera, the problem of water level calculation can be transformed to the problem of classifying each image into two classes of ruler and water. As dictionary learning model has shown, its abilit
地板
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Application of Improved FCM Algorithm in Brain Image Segmentationhm based on neighborhood pixel correlation. The algorithm works out the influence degree of the neighborhood pixels on the central pixel by the correlation of the gray-level difference between the domain pixel and the center pixel. Then, the distance between the neighborhood pixel and the cluster ce
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Generating Pedestrian Images for Person Re-identificationnetwork (GAN) to expand training samples and evaluate the performance of two different label assignment strategies for the generated samples. We also investigate how the number of generated samples influences the re-ID performance. We do several experiments on the Market1501 database, and the experi
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The Image Preprocessing and Check of Amount for VAT Invoicesm companies, universities, and governments in China. In this paper, based on the recognition of invoices by OCR, we use Hough transform to preprocess the scanned image of invoices and creatively introduce the idea of checking the amount of money. We proofread the uppercase and lowercase amounts in t
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Super-Resolution Imaging Using Convolutional Neural Networksution images from low-resolution images. To improve the performance of our model, four optimizations were added in the training process. After comparing the models with these four optimizations, Adam and RMSProp were found to achieve the optimal performance in peak signal to noise ratio (PSNR) and s
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