Direction of arrival estimation in time modulated linear arrays using matrix pencil method with single snapshot and optimized time steps

N Aytaş, E Afacan, N İnanç - AEU-International Journal of Electronics and …, 2022 - Elsevier
The direction of arrival estimation by the time modulated linear array with a proposed novel
approach has been analyzed and proven. By merging Matrix Pencil method with time …

Temperature Forecasting of Grain in Storage: An Improved Approach Based on Broad Learning Network

Q Wang, M Hou, Y Qin, F Lian - IEEE Access, 2024 - ieeexplore.ieee.org
Temperature forecasting of grain in storage is crucial for timely granary temperature control,
mitigating adverse effects of extreme temperatures on grain quality. Traditional machine …

DOA estimation based on cyclostationary feature extraction: An adaptive high-resolution algorithm

N Garakyaragh, K Shahtalebi - AEU-International Journal of Electronics …, 2022 - Elsevier
The quality of direction of arrival (DOA) estimation is affected by factors such as noise and
interferences in wireless communication and other systems. By employing the benefits of …

Prediction model for the stored-grain situation risk point based on Broad Learning Network

L Feiyu, Q Yao, F Maixia - IEEE Access, 2023 - ieeexplore.ieee.org
An accurate prediction for the stored-grain situation is a necessary means to ensure grain
security. It is difficult for traditional machine learning methods to process large-scale stored …

基于宽度学习系统的仓储粮情风险点预测模型

廉飞宇, 秦瑶, 付麦霞 - 河南工业大学学报自然科学版, 2023 - xuebaozk.haut.edu.cn
及时的仓储粮情预测是保证储粮安全的必要手段. 目前, 传统预测方法多从某一侧面对仓储粮情
进行预测, 无法实现对仓储粮情风险的精准综合评估, 而深度学习方法则存在着所需训练样本 …

Impaired Fractal Based Sub-Array Diagnosis

P Raiguru, M Sahani, SK Rout… - 2022 IEEE Wireless …, 2022 - ieeexplore.ieee.org
Sparse array has attracted a lot of attentions because of its higher DOF O(N^2) with only few
physical elements (N). It has this property by imposing the difference co-array, which is …