Titlebook: Communications, Signal Processing, and Systems; Proceedings of the 1 Wei Wang,Xin Liu,Baoju Zhang Conference proceedings 2024 The Editor(s)

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河流

A Pressure Scanning Fabry-Perot Magnetometer, and then analyzes the key technologies combined with the characteristics of unmanned aerial vehicles and gives solutions; Finally, the development of follow-up equipment is prospected, which can provide a good reference and help for the design of unmanned combat vehicle early warning radar.

挫败

https://doi.org/10.1007/978-94-010-3117-2and ground station, the forward and backward link margin is analyzed, and a bandwidth adaptive communication method based on software defined radio is proposed, which dynamically adjusts the forward and backward link bandwidth according to the signal-to-noise ratio of the actual received signal from

regale

arboretum

Classical Scattering and the Hanle Effect,erefore, this paper proposes a mainlobe interference suppression method based on Fractional Fourier transform (FRFT). Firstly, the mixed radar echo signal containing main lobe interference is processed by FRFT transform with specific LFM signal characteristics, then the interference and most noise e

冷淡周边

Diagnostics of Small-Scale Magnetic Fields,gh-resolution remote sensing images or UAV images for mangrove species classification. In order to improve classification accuracy, LiDAR and hyper-spectral data are often used to assist classification. In this paper, based on the Gaofen-2 image and the CHM data obtained by the UAV Lidar, the mangro

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笨重

Solar Flares — Observations and Theorye to improve the performance of the algorithm. The first layer of the model uses decision trees (DT), support vector machines (SVM), random forests (RF), gradient boosting decision trees (GBDT) as the base model, and logistic regression (LR) is selected as the metamodel in the second layer. By compa

anthropologist

Magnetic Helicity with Solar Dynamo, is one of the most direct ways. Therefore, it is an important technical challenge to extract the emotional information from the speech signal as much as possible. To address this issue, we proposed a local frame-level global dynamic attention network (LF-GANet) to extract emotional information from