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派博传思国际中心 »期刊书目

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Titlebook: Computational Signal Processing and Analysis; Select Proceedings o Asoke K. Nandi,N Sujatha,John Sahaya Rani Alex Conference proceedings 20

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发表于 2025-3-21 17:00:57 | 显示全部楼层 |阅读模式
书目名称Computational Signal Processing and Analysis
副标题Select Proceedings o
编辑Asoke K. Nandi,N Sujatha,John Sahaya Rani Alex
视频video
概述Covers key developments in the field of electronics and communication engineering.Includes the latest research from the field of computational signal processing and analysis.Presents contributions fro
丛书名称Lecture Notes in Electrical Engineering
图书封面Titlebook: Computational Signal Processing and Analysis; Select Proceedings o Asoke K. Nandi,N Sujatha,John Sahaya Rani Alex Conference proceedings 20
描述.This book comprises a collection of papers by international experts, presented at the International Conference on NextGen Electronic Technologies (ICNETS2-2017). ICNETS2 encompassed six symposia covering all aspects of electronics and communications engineering domains, including relevant nano/micro materials and devices. Featuring the latest research on computational signal processing and analysis, the book is useful to researchers, professionals, and students working in the core areas of electronics and their applications, especially signal processing, embedded systems, and networking..
出版日期Conference proceedings 2018
关键词Adaptive / Array Signal Processing; Multirate Signal Processing; Biomedical Signal Processing; Image Pr
版次1
doihttps://doi.org/10.1007/978-981-10-8354-9
isbn_softcover978-981-13-4131-1
isbn_ebook978-981-10-8354-9Series ISSN 1876-1100 Series E-ISSN 1876-1119
issn_series 1876-1100
copyrightSpringer Nature Singapore Pte Ltd. 2018
The information of publication is updating

书目名称Computational Signal Processing and Analysis影响因子(影响力)




书目名称Computational Signal Processing and Analysis影响因子(影响力)学科排名




书目名称Computational Signal Processing and Analysis网络公开度




书目名称Computational Signal Processing and Analysis网络公开度学科排名




书目名称Computational Signal Processing and Analysis被引频次




书目名称Computational Signal Processing and Analysis被引频次学科排名




书目名称Computational Signal Processing and Analysis年度引用




书目名称Computational Signal Processing and Analysis年度引用学科排名




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书目名称Computational Signal Processing and Analysis读者反馈学科排名




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https://doi.org/10.1007/978-981-13-0623-5of the smart plate. The finite element model is reduced to the first three modes using orthonormal modal truncation, and subsequently, the reduced finite element model is converted into a state-space model.
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A Comparative Study of Isolated Word Recognizer Using SVM and WaveNet,racy of classification for WaveNets is shown in the results. The number of features is also varied using dimension reduction technique and its effect on the accuracies is studied. The data is prepared using feature scaling and dimensionality reduction before training SVM and NN classifiers.
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https://doi.org/10.1007/978-3-642-34375-9aged FFT, location averaged DCT, and location averaged DWT are the three methods proposed for face and ear recognition system. The standard face and ear database images are used for analyzing the accuracy, runtime, and mismatching. The maximum accuracy value of about 99% is achieved in shortest run time with less mismatching.
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发表于 2025-3-23 01:35:00 | 显示全部楼层
Grzegorz Sierpiński,Ireneusz Celiński Jones proposed a fast and accurate method to detect the object. Haar-like features are used to detect the variation between the black and light portion of the image. Cam-shift algorithm is used to develop the face and head tracking. The object search is done using the back-projection procedure through probability distribution maximum obtained.
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