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Robust Dereverberation With Kronecker Product Based Multichannel Linear Prediction

IEEE Signal Processing Letters, 2021
Reverberation impairs not only the speech quality, but also intelligibility. The weighted-prediction-error (WPE) method, which estimates the late reverberation component based on a multichannel linear predictor, is by far one of the most effective ...
Wenxing Yang   +5 more
semanticscholar   +1 more source

A Minimum Variance Distortionless Response Spectral Estimator with Kronecker Product Filters

European Signal Processing Conference, 2022
Spectral estimation is of significant practical importance in a wide range of applications. This paper proposes a minimum variance distortionless response (MVDR) method for spectral estimation based on the Kronecker product.
Xianrui Wang   +3 more
semanticscholar   +1 more source

Adaptive Low-Rank DOA Estimation Using Complex Kronecker Product Decomposition

IEEE Transactions on Vehicular Technology
Traditional non-adaptive subspace-based direction of arrival (DOA) estimation algorithms require a lot of computation and are not suitable for power efficient implementation which is a necessity in battery-operated smart vehicles. Least mean square (LMS)
J. S.   +2 more
semanticscholar   +1 more source

One-step Solving the Hand-Eye Calibration by Dual Kronecker Product

Journal of Mechanisms and Robotics
Hand-eye calibration is a typical research direction in robotics applications. The current methods can be divided into two categories according to whether the rotational and translational equations are decoupled for computation: two-step methods and ...
Xiao Wang, Hanwen Song
semanticscholar   +1 more source

Nearest Kronecker Product Decomposition Based Generalized Maximum Correntropy and Generalized Hyperbolic Secant Robust Adaptive Filters

IEEE Signal Processing Letters, 2020
Robust adaptive signal processing algorithms based on a generalized maximum correntropy criterion (GMCC) suffers from high steady state misalignment.
Sankha Subhra Bhattacharjee   +2 more
semanticscholar   +1 more source

Robust and steerable kronecker product differential beamforming With rectangular microphone arrays

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2020
Differential microphone arrays (DMAs), a class of welldesigned small-size arrays combined with differential beamforming, are very useful for processing broadband acoustic, audio, and speech signals in a wide range of applications.
Gongping Huang   +3 more
semanticscholar   +1 more source

Inverse of sum of Kronecker products as a sum of Kronecker products

GPS Solutions, 2018
In the context of processing global navigation satellite system (GNSS) data by least squares adjustment, one may encounter a mathematical problem when inverting a sum of two Kronecker products. As a solution of this problem, we propose to invert this sum in the form of another sum of two Kronecker products.
openaire   +1 more source

Kronecker Product Beamforming with Multiple Differential Microphone Arrays

International Conference on Security and Management, 2020
Differential microphone arrays (DMAs) are very attractive because of their high directional gains and frequency-invariant beampatterns. However, it is generally required that the array aperture is small, such that the DMA can respond to acoustic pressure
Gongping Huang   +3 more
semanticscholar   +1 more source

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