Abstract: This paper addresses the direction-of-arrival (DOA) estimation problem for non-circular signals in nested arrays through a block tensor sparse representation (TSR) framework. By establishing ...
When you create an algorithm, you need to include precise, step-by-step instructions. This means you will need to break down the task or problem into smaller steps. We call this process decomposition.
Abstract: Under the frequency-decomposed wideband signal model, a group-sparsity (GS) based wideband sparse representation of array covariance vectors (GS-WSRACV) framework is proposed by fully ...
Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...
MoEEG has two variants, Base and Large, which share an identical model architecture but differ in hyperparameter configurations: the Base model features an embedding dimension of 128 with 4 attention ...
This project is based on the official implementation associated with the paper "3D Gaussian Splatting for Real-Time Radiance Field Rendering", which can be found here. Abstract: *Most existing 3D ...
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