Mar 24, 2024 · The modeling of spread spectrum signal sequence is the basis for realizing signal acquisition. On the basis of deep residual network, data ...
Acquisition Method of Direct Sequence Spread Spectrum Signal Based on Deep Residual Network. https://doi.org/10.1007/978-3-031-50543-0_12.
The experimental results show that the application of deep residual network can greatly enhance the ability of network host to collect spread spectrum signals, ...
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Acquisition Method of Direct Sequence Spread Spectrum Signal Based on Deep Residual Network · Jia Pan. Computer Science, Engineering. International Conference ...
Aug 7, 2023 · This paper introduces a Pseudo-Noise (PN) code period estimation method utilizing a one-dimensional (1D) convolutional neural network based on the residual ...
The National Institute of Standards and Technology (NIST) document is a list of fifteen tests for estimating the probability of signal randomness degree.
This project investigates one of the aspects of synchronization, referred to as acquisition, with specific regard to one type of spread-spectrum system.
Missing: Residual | Show results with:Residual
A DSSS signal detection method based on an eigenvalues local binary patterns residual network (EL-ResNet) is proposed with an unknown spread spectrum sequence.
Missing: Acquisition | Show results with:Acquisition
May 24, 2024 · This method uses the strong contrast of eigenvalue energy and gradient change to enlarge the discrimination of images with or without DSSS ...
A deep learning-based direct sequence spread spectrum (DSSS) underwater acoustic (UWA) communication system was proposed in this study.