IEEE

Poster: Optimization of Matrix LU Decomposition Algorithm in DSP

Abstract: Digital Signal Processors (DSPs) rely on VLIW and SIMD architectures to provide significant advantages in real-time, low-power computation. The efficient implementation of matrix LU ...

Algorithms killed taste. Lulu and Georgia wants to bring it back to life

Algorithms and AI have led to an era of boring sameness in interior design. But a resistance is emerging. A cozy, neutral ...
IEEE

Adaptive Genetic Mode Decomposition Algorithm for Single-Channel Dense Multisignal Mix Signal Separation in Optical Frequency Comb-Based Down-Conversion Wideband Signal Measurement

Abstract: In optical frequency comb (OFC) undersampling, the downconverted signal spectrum exhibits high spectral density, and traditional single-channel mix signal separation (SC-MSS) algorithms ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
GitHub

PolarGrad: A Class of Matrix-Gradient Optimizers from a Unifying Preconditioning Perspective

PolarGrad (Polar Gradient methods; Lau et al., 2025) is a class of matrix-gradient optimizers based on the concept of gradient-anisotropy preconditioning in optimization. It has close relation to Muon ...