找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Evolution in Signal Processing and Telecommunication Networks; Proceedings of Sixth P. Satish Rama Chowdary,Jaume Anguera,Vikrant Bhat Conf

[復制鏈接]
樓主: 傳家寶
31#
發(fā)表于 2025-3-26 21:00:48 | 只看該作者
Biodiversity and Its Conservation,a sets. Both the qualitative and quantitative results were obtained. The experimental results show that the method adjust itself according to various challenges and gives best qualitative and quantitative results.
32#
發(fā)表于 2025-3-27 02:32:44 | 只看該作者
33#
發(fā)表于 2025-3-27 07:30:52 | 只看該作者
https://doi.org/10.1057/9781137494122 subjecting them to IQ imbalances, and their performance is analysed through simulations, considering bit error probability (BEP) as the performance metric. It is also shown that pruned DFT-s FBMC is less sensitive to IQ imbalances compared to other waveform candidates.
34#
發(fā)表于 2025-3-27 10:43:12 | 只看該作者
35#
發(fā)表于 2025-3-27 15:41:00 | 只看該作者
36#
發(fā)表于 2025-3-27 17:46:22 | 只看該作者
37#
發(fā)表于 2025-3-28 01:06:45 | 只看該作者
Propagation of Data Using Free Space Under Different Weather Conditions,iques are incorporated which will reduce the attenuation in the free space link. In this work, optical link which works for 1–5?Kms are studied, and parameters such as bit error rate and quality factor are observed for different wavelengths.
38#
發(fā)表于 2025-3-28 06:02:50 | 只看該作者
39#
發(fā)表于 2025-3-28 08:45:07 | 只看該作者
Energy Detector and Diversity Techniques for Cooperative Spectrum Sensing, combining (SC) and maximal ratio combining (MRC) diversity techniques at each cognitive radio user, and it is proved that by increasing number of branches (Antennas) at each cognitive radio user, maximal ratio combining (MRC) is giving better performance by optimal reduction of the total error in a cognitive radio network.
40#
發(fā)表于 2025-3-28 14:07:37 | 只看該作者
Classification of Non-fluctuating Radar Target Using ReliefF Feature Selection Algorithm,is obtained by using the MODWPT feature extraction. To remove the extraneous and unnecessary features from the feature set, ReliefF optimal feature selection is proposed. The feature subset thus obtained is given to different classifiers, namely SVM and KNN, and their performance is observed.
 關于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結 SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-5 03:59
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
惠水县| 琼结县| 惠水县| 敦煌市| 永州市| 永德县| 凤山县| 甘洛县| 晴隆县| 宁夏| 拉孜县| 新邵县| 海阳市| 腾冲县| 新化县| 寻乌县| 普洱| 兰考县| 南宫市| 红桥区| 平南县| 长子县| 汝城县| 河间市| 舞钢市| 特克斯县| 太保市| 中牟县| 门头沟区| 盐亭县| 临猗县| 九台市| 方城县| 渭源县| 彭阳县| 吕梁市| 温州市| 龙江县| 福贡县| 广平县| 阿尔山市|