Efficient measurement matrix for speech compressive sampling
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-021-10657-x.pdf
Reference23 articles.
1. Ahmed I, Ahmad N, Ali H, Ahmad G (2012) The development of isolated words pashto automatic speech recognition system. In: 2012 18th international conference on automation and computing (ICAC). IEEE, pp 1–4
2. Ahmed I, Ali H, Ahmad N, Ahmad G (2012) The development of isolated words corpus of pashto for the automatic speech recognition research. In: 2012 international conference of robotics and artificial intelligence. IEEE, pp 139–143
3. Ahmed I, Khan A, Ahmad N, Ali H, et al. (2020) Speech signal recovery using block sparse bayesian learning. Arab J Sci Eng 45(3):1567–1579
4. Arjoune Y, Kaabouch N, Ghazi HE, Tamtaoui A (2017) Compressive sensing: performance comparison of sparse recovery algorithms. In: 2017 IEEE 7th annual computing and communication workshop and conference (CCWC). IEEE, pp 1–7
5. Arjoune Y, Kaabouch N, Ghazi HE, Tamtaoui A (2018) A performance comparison of measurement matrices in compressive sensing. Int J Commun Syst 31(10):e3576
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Improved Commodity Supply Chain Performance Through AI and Computer Vision Techniques;IEEE Access;2024
2. Efficient feature extraction and classification for the development of Pashto speech recognition system;Multimedia Tools and Applications;2023-11-30
3. Optimal Sparse Signals from CNC Machine Vibration;2023 10th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE);2023-08-31
4. WITH: Weighted Truncated Hadamard-Matrix-Based Deterministic Compressive Sampling for Sparse Multiband Signals;Circuits, Systems, and Signal Processing;2022-10-10
5. Learning based speech compressive subsampling;Multimedia Tools and Applications;2022-10-03
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3