Abstract: Viterbi's algorithm for decoding of Convolutional codes is based on the principle of maximum likelihood detection and the final path in the Trellis depends on the survivors at each level ...
Gray codes, also known as reflected binary codes, offer a clever way to minimize errors when digital signals transition between states. By ensuring that only one bit changes at a time, they simplify ...
Deep learning methods such as multilayer perceptrons (MLPs) and convolutional neural networks (CNNs) have been applied to predict the complex traits in animal and plant breeding. However, it remains ...
1 Department of Computer Engineering, School of Engineering, The University of Jordan, Amman, Jordan. 2 Department of Data Science and Artificial Intelligence, Faculty of Information Technology, ...
I have been studying your code and paper with great interest. I would appreciate some clarifications on the following points to better understand your approach: In the preprocessing, SNP data is ...
Abstract: URLLC applications impose stringent latency and reliability requirements, making its compliance challenging due to the inherent trade-off between them. These applications typically involve ...
ABSTRACT: Point cloud-based 3D object detection is a key technology in autonomous driving and mobile robot perception systems. However, the sparsity and irregularity of point cloud data result in poor ...
VHDL-based digital logic project from Politecnico di Milano, featuring a convolutional encoder for telecommunications. Implements a finite state machine (FSM) to process sequences from memory, ...
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