Keyword

maximum likelihood detection

Description: Maximum likelihood detection is a signal-processing method that selects the transmitted signal or symbol most probable given the received observation and a noise model.
OpenAlex ID: keywords/maximum-likelihood-detection
2002 · Xiaoming Zhu, J.M. Kahn · IEEE Transactions on Communications · 1,623
2013 · Ertugrul Basar, Umit Aygolu, et al. · IEEE Transactions on Signal Processing · 1,143
2020 · Ertugrul Basar · IEEE Transactions on Communications · 842
2000 · O. Damen, A. Chkeif, et al. · IEEE Communications Letters · 757
2005 · A. Burg, M. Borgmann, et al. · IEEE Journal of Solid-State Circuits · 635
2018 · Gang Yang, Qianqian Zhang, et al. · IEEE Internet of Things Journal · 410
2003 · Kwan-wai Wong, Chi-ying Tsui, et al. · IEEE International Symposium on Circuits and Systems proceedings · 383
2007 · Ming Jiang, Lajos Hanzo · Proceedings of the IEEE · 370
2000 · J. Tellado · Thammasat University Digital Collections · 356
2002 · Wing-Kin Ma, T.N. Davidson, et al. · IEEE Transactions on Signal Processing · 346
2002 · Xu Zhu, R.D. Murch · IEEE Transactions on Communications · 331
2017 · Gang Yang, Ying-Chang Liang, et al. · IEEE Transactions on Communications · 323
2016 · Tianqi Mao, Zhaocheng Wang, et al. · IEEE Access · 318
2013 · Deniz Kilinc, Ozgur B. Akan · IEEE Journal on Selected Areas in Communications · 290
2016 · Jing Qian, Feifei Gao, et al. · IEEE Transactions on Wireless Communications · 283
2005 · Kyeong Jin Kim, Jiang Yue, et al. · IEEE Transactions on Wireless Communications · 273
1990 · J.H. Winters, R.D. Gitlin · IEEE Transactions on Communications · 270
2003 · J. Tellado, L.M.C. Hoo, et al. · IEEE Transactions on Communications · 235
2002 · S.H. Low, N.F. Maxemchuk, et al. · IEEE Conference on Computer Communications (INFOCOM) · 231
1987 · H. Thapar, A. Patel · IEEE Transactions on Magnetics · 229
1996 · N. Al-Dhahir, J.M. Cioffi · IEEE Transactions on Information Theory · 221
2016 · Ertugrul Basar · IEEE Transactions on Signal Processing · 215
Works count: 5,870
Citation count: 60,850
Year
Topic
Type