Abstract: Matrix-matrix multiplication is one of the most important kernel in linear algebra operations with a multitude of applications in scientific and engineering computing. Sparse matrix ...
Abstract: Wideband spectrum sensing (WBSS) based on sub-Nyquist sampling (SNS) effectively alleviates sampling pressure, improves spectrum utilization, and has significant applications in modulation ...
NonnegMFPy ----- NonnegMFPy is developed and maintained by Guangtun Ben Zhu, It is designed to solve nonnegative matrix factorization (NMF) given a dataset with heteroscedastic uncertainties and ...
Convolutional Neural Network (CNN) is widely used in seismic data denoising due to its simplicity and effectiveness. However, traditional seismic denoising methods based on CNN ignore multi-scale ...
The Locally Competitive Algorithm (LCA) is a biologically plausible computational architecture for sparse coding, where a signal is represented as a linear combination of elements from an ...
The Universal Java Matrix Package (UJMP) is an open source library for dense and sparse matrix computations and linear algebra in Java. In addition to the basic operations like matrix multiplication, ...
Compressed sensing aims to undersample certain high-dimensional signals yet accurately reconstruct them by exploiting signal characteristics. Accurate reconstruction is possible when the object to be ...
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