neutron energy spectrum estimationsimulation calculationsTOF experimentsIn order to clarify the irradiation characteristics of hyper-thermal neutrons and the feasibility of a hyper-thermal neutron irradiation f
与直接估计光谱每个 energy bin的内容不同,proposed spectrum estimation method 估计了每个模型光谱的相应权重。因此,the number of unknown variables for the spectrum recovery problem can be greatly reduced from the number of energy bins to the number of model spectra and the solution of the inverse ...
The proposed algorithm uses a joint utility and strategy estimation under QoS constraints to minimize the received intra- and inter-tier interference for femtocells (FCs) and reduce inter-tier interference from FCs to eNBs. Their algorithm utilizes RL techniques to simplify their problem formulation ...
Simulation results confirmed the effectiveness of the proposed method.doi:10.1007/s11760-019-01500-wHang ZhuJian-jun ShenZheng DaiWei SongZhong-xiang ChangSpringer LondonSignal Image and Video ProcessingZhu, H, Zhang, SN, Zhao, HC (2015) Single Channel Source Separation and Parameter Estimation of...
multitaper spectrum estimation methodmulti antenna spectrum sensingcooperative spectrum sensinglt;pgt;In this paper, we consider the primary user detection problem in cognitive radio systems by using multi antenna at the cognitive radio receiver. An optimal linear combiner multi antenna based spectrum ...
Many spectrum estimation methods have now been proposed for TomoSAR. However, most of the commonly used methods are susceptible to noise and inevitably produce sidelobes, resulting in a reduced accuracy for the inversion of forest structural parameters. In this paper, to solve this problem, a ...
A JWST transmission spectrum of the nearby Earth-sized exoplanet LHS 475 b Article31 August 2023 Main The thermal emission spectra of ultra-hot Jupiters typically have muted spectral features and thus closely resemble blackbodies in existing narrowband measurements2,3. The interpretation of these spec...
A Monte Carlo study is presented to evaluate the performance of some parametric testing and estimation procedures for models characterized by breaks in variance. We attempt to see whether these procedures perform in the same way as models characterized by mean-shifts as investigated by Bai and ...
In speech signal processing, spectral density estimation aims to define the power spectral density of a continuous sequence of the time signal. Generally, the power spectral density functions characterize the frequency data of the signal [40]. The purpose of determining the power spectral density is...
For better estimation of the Q value function, the authors used a two DQN model. The simulation results show that the proposed learning algorithm improves the channel utilization even when the number of contending devices is larger than the number of subchannels. In [126], a DRL framework is...