GitHub

Singular Spectrum Analysis for Time Series Forecasting

What is Singular Spectrum Analysis (SSA)? Singular Spectrum Analysis (SSA) is a non-parametric technique in machine learning used to analyze and forecast time series data. SSA decomposes a time series ...
IEEE

Channel Estimation for Beyond Diagonal RIS via Tensor Decomposition

Abstract: This paper addresses the channel estimation problem for beyond diagonal reconfigurable intelligent surface (BD-RIS) from a tensor decomposition perspective. We first show that the received ...
Frontiers

Deep linear matrix approximate reconstruction with integrated BOLD signal denoising reveals reproducible hierarchical brain connectivity networks from multiband multi-echo fMRI

The hierarchical modular functional structure in the human brain has not been adequately depicted by conventional functional magnetic resonance imaging (fMRI) acquisition techniques and traditional ...
GitHub

Quantum shannon decomposition fails for QFT with non-unitary matrix error

I encountered an issue when attempting to decompose the unitary matrix of QFT(4) using the built-in quantum_shannon_decomposition function in Cirq. According to the documentation, the ...
Scientific Research Publishing

Z. Yuan, E. Oja, “Projective Non-negative Matrix Factorization for Image Compression and Feature Extraction,” Springer, Heidelberg, 2005.

ABSTRACT: Rank determination issue is one of the most significant issues in non-negative matrix factorization (NMF) research. However, rank determination problem has not received so much emphasis as ...