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Convolutional Neural Network Approach for Emitter Association using Channel Identification in a MIMO System based on Propagation Features

Autor: Talley Jr., Michael F., Nyarko, Kofi, Thompson II, Willie L., Cole-Rhodes, Arlene, Scott, Craig

In this paper, an application of a 1D deep convolutional neural network (DCNN) and 4x4 1D DCNN Multi-channel Model (DCNN-MCM) was developed to predict the probability of a channel being associated with a given transmitter for each emitter in a 4x4 mu

Externí odkaz: http://arxiv.org/abs/2408.09616

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Nowcasting with signature methods

Autor: Cohen, Samuel N., Lui, Silvia, Malpass, Will, Mantoan, Giulia, Nesheim, Lars, de Paula, Áureo, Reeves, Andrew, Scott, Craig, Small, Emma, Yang, Lingyi

Key economic variables are often published with a significant delay of over a month. The nowcasting literature has arisen to provide fast, reliable estimates of delayed economic indicators and is closely related to filtering methods in signal process

Externí odkaz: http://arxiv.org/abs/2305.10256

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