Therefore, these algorithms are lim- ited with respect to their tracking speed and the type of noise fields for which they can estimate the correlation matrix.

In this paper we present a new method for noise correlation matrix estimation that makes no assumptions about the type of noise field, nor uses a VAD. The ...

It is straightforward to calculate the noise correlation matrix (in chain form) of a DUT embedding into input and output networks using Eqn (2.22).

2013/11/07 · Our method uses a Gaussian process regression to estimate the noise correlation matrix in each time period from the measurements of self- ...

The noise correlation matrices form a general technique for calculating noise in n-port networks. This method is useful because it forms a base from which ...

2023/08/22 · Our results suggest that Wishart processes are broadly applicable tools for quantification and uncertainty estimation of noise correlations in trial-limited ...

A new method to estimate the noise in financial correlation matrices. 3013. Thus, the matrix C(∞) consists of B square blocks on the diagonal of dimensions ...

Our method uses a Gaussian process regression to estimate the noise correlation matrix in each time period from the measurements of self-monitoring sensors ...

Estimation of the noise correlation matrix. RC Hendriks, T Gerkmann. Multimedia Computing. Research output: Chapter in Book/Conference proceedings/Edited ...

2023/11/07 · Estimating the noise covariance matrix in linear regression ... y = x*B + e,. where x is a p dimensional vector of inputs, and y is a one ...