centipede
发表于 2025-3-21 16:44:41
书目名称Coded Modulation Systems影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0228831<br><br> <br><br>书目名称Coded Modulation Systems影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0228831<br><br> <br><br>书目名称Coded Modulation Systems网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0228831<br><br> <br><br>书目名称Coded Modulation Systems网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0228831<br><br> <br><br>书目名称Coded Modulation Systems被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0228831<br><br> <br><br>书目名称Coded Modulation Systems被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0228831<br><br> <br><br>书目名称Coded Modulation Systems年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0228831<br><br> <br><br>书目名称Coded Modulation Systems年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0228831<br><br> <br><br>书目名称Coded Modulation Systems读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0228831<br><br> <br><br>书目名称Coded Modulation Systems读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0228831<br><br> <br><br>
乞丐
发表于 2025-3-21 23:17:58
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吹气
发表于 2025-3-22 04:05:54
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树木中
发表于 2025-3-22 05:31:18
Information Technology: Transmission, Processing and Storagehttp://image.papertrans.cn/c/image/228831.jpg
小虫
发表于 2025-3-22 10:06:29
https://doi.org/10.1007/b100498Modulation; Partition; Phase; Shannon; Signal; Symbol; coding; communication; filtering; filters; information;
大量杀死
发表于 2025-3-22 15:25:56
978-1-4757-8737-5Springer Science+Business Media New York 2002
大量杀死
发表于 2025-3-22 20:17:41
Coded Modulation Systems978-0-306-47792-8Series ISSN 1389-6938 Series E-ISSN 1866-6361
联邦
发表于 2025-3-22 23:51:34
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华而不实
发表于 2025-3-23 03:22:58
Book 2002yone wanting to learn the ideas behind this modern kind of coding. Coded modulation is signal encoding that takes into account the nature of the channel over which it is used. Traditional error correcting codes work with bits and add redundant bits in order to correct transmission errors. In coded m
Canyon
发表于 2025-3-23 07:52:33
An Efficient Hashing Algorithm for NN Problem in HD Spaceshod outperforms all state-of-the-art methods for the GIST features. For SIFT features, the results indicate that our method significantly reduces the search query time while preserving the search quality and outperforms FLANN for datasets of size less than 200 K points.