GitHub

dance858/Toeplitz-covariance-estimation

This repository hosts an implementation of an FFT-accelerated Newton's method for solving the maximum likelihood estimation problem for a covariance matrix that is known to be Toeplitz: $$ ...
IEEE

Zihuan Mao

Covariance Matrix,Numerical Simulations,Carrier Frequency,Root Mean Square Error,Virtual Signal,Direction Of Arrival,Direction Of Arrival Estimation,Frequency Diversity,Matched Filter,Nuclear Norm ...
Frontiers

A Markov Regime Switching Model for Ultra-Short-Term Wind Power Prediction Based on Toeplitz Inverse Covariance Clustering

The rapid development of wind energy has brought a lot of uncertainty to the power system. The accurate ultra-short-term wind power prediction is the key issue to ensure the stable and economical ...
Europe PMC

Richardson-Lucy deconvolution as a general tool for combining images with complementary strengths.

We use Richardson-Lucy (RL) deconvolution to combine multiple images of a simulated object into a single image in the context of modern fluorescence microscopy techniques. RL deconvolution can merge ...
PNAS

Efficient denoising algorithms for large experimental datasets and their applications in Fourier transform ion cyclotron resonance mass spectrometry

Every measurement is corrupted due to random fluctuations in the sample and the apparatus. Current efficient denoising algorithms require large matrix analysis, and become untractable even for ...
GitHub

Autoregressive modeling tools in header-only C++

This package contains a precision-agnostic, header-only, C++ implementation of Burg's recursive method for estimating autoregressive model parameters. Many usability-related extensions, in particular ...