A Phase Increment-Based Frequency Estimator for General PSAM in Burst Communications

Author(s):  
Zhongyang Yu ◽  
Jinhua Sun ◽  
Baoming Bai ◽  
Xiaojun Wu
1995 ◽  
Vol 31 (19) ◽  
pp. 1631-1632 ◽  
Author(s):  
Pooi Yuen Kam
Keyword(s):  

2021 ◽  
pp. 108125
Author(s):  
Lei Fan ◽  
Guoqing Qi ◽  
Jinyu Liu ◽  
Jiyu Jin ◽  
Li Liu ◽  
...  

2013 ◽  
Vol 93 (5) ◽  
pp. 1392-1397 ◽  
Author(s):  
Ljubiša Stanković ◽  
Miloš Daković ◽  
Thayananthan Thayaparan

2018 ◽  
Vol 7 (3) ◽  
pp. 1 ◽  
Author(s):  
Hatem Baffoun ◽  
Mekki Hajlaoui ◽  
Abdeljelil Farhat

In this paper, we compare empirically the performance of some adaptive MCMC methods, that is, Adaptive Metropolis (AM) algorithm, Single Component Adaptive Metropolis (SCAM) algorithm and Delayed Rejection Adaptive Metropolis (DRAM) algorithm. The context is the simulation of non-standard discrete distributions. The performance criterion used is the precision of the frequency estimator. An application to a Bayesian hypothesis testing problem shows the superiority of the DRAM algorithm over the other considered sampling schemes.


2017 ◽  
Vol 38 ◽  
pp. 32-38 ◽  
Author(s):  
Alexey A. Vedyakov ◽  
Anastasiia O. Vediakova ◽  
Alexey A. Bobtsov ◽  
Anton A. Pyrkin ◽  
Stanislav V. Aranovskiy

Measurement ◽  
2012 ◽  
Vol 45 (1) ◽  
pp. 109-117 ◽  
Author(s):  
Daniel Belega ◽  
Dominique Dallet ◽  
Dario Petri

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