IEEE

Semi-Recursive Convolution Schemes for Macromodeling of Time-Invariant Linear Circuits

Abstract: Time-domain macromodeling is a powerful technique for generating compact models of linear time-invariant (LTI) circuits. A common approach involves computing the port impulse response at the ...
IEEE

Symlectic Periodic Convolution Tracking Method: Algorithm and Applications

Abstract: The periodic pulse features induced by early damage to rolling bearings under a strong noise background are weak, and the signal decomposition method based on the symplectic geometry ...
Scientific Research Publishing

A Lightweight MobileViT with a Dual-Path Attention Mechanism for MRI Image Classification ()

Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...
Scientific Research Publishing

KAN-Transformer Fusion with Mixture of Experts for Temporal Imputation of Spatiotemporal Air Pollution Data ()

The Kolmogorov-Arnold Network (abbr. KAN) is a novel neural network architecture inspired by the Kolmogorov-Arnold ...
GitHub

tiled_convolution_2d_template.c

* @param C Output matrix C (must be pre-allocated with (height_A - height_B + 1) x (width_A - width_B + 1) elements) * @param tile_height Height of tiles for processing * @param tile_width Width of ...