Eigenbeam-ESPRIT for DOA-vector estimation
A Herzog, EAP Habets - IEEE signal processing letters, 2019 - ieeexplore.ieee.org
Several techniques exist to estimate the directions of arrival (DOAs) of sound sources
captured with a spherical microphone array. The eigenbeam rotational invariance technique …
captured with a spherical microphone array. The eigenbeam rotational invariance technique …
Joint eigenvalue decomposition algorithms based on first-order Taylor expansion
In this paper, we propose a new approach to compute the Joint EigenValue Decomposition
(JEVD) of real or complex matrix sets. JEVD aims to find a common basis of eigenvectors to …
(JEVD) of real or complex matrix sets. JEVD aims to find a common basis of eigenvectors to …
[图书][B] Robust localization of early reflections in a room using semi real-valued EB-ESPRIT with three recurrence relations and laplacian constraint
To localize early reflections in a reverberant room, the direction-of-arrival (DOA) estimation
technique has been evolved in various ways. Among many techniques, the subspace-based …
technique has been evolved in various ways. Among many techniques, the subspace-based …
Three‐dimensional high‐resolution MIMO radar imaging via OFDM modulation and unitary ESPRIT
J Zhao, Y Liu, K Huo, J Ye… - Mathematical Problems in …, 2020 - Wiley Online Library
Imaging and recognition of targets with complex maneuvers bring a new challenge to
conventional radar applications. In this paper, the three‐dimensional (3D) high‐resolution …
conventional radar applications. In this paper, the three‐dimensional (3D) high‐resolution …
Detecting simultaneous directions of arrival in an Ambisonic signal with REVEB-ESPRIT
F Zotter, T Deppisch - Audio Engineering Society Convention 154, 2023 - aes.org
We present a purely real-valued variant of the extended vector-based EB-ESPRIT (REVEB-
ESPRIT), an algorithm that estimates multiple simultaneous directions of arrival (DOAs) from …
ESPRIT), an algorithm that estimates multiple simultaneous directions of arrival (DOAs) from …
First-order perturbation analysis of the SECSI framework for the approximate CP decomposition of 3-D noise-corrupted low-rank tensors
The Semi-Algebraic framework for the approximate Canonical Polyadic (CP) decomposition
via SImultaneaous matrix diagonalization (SECSI) is an efficient tool for the computation of …
via SImultaneaous matrix diagonalization (SECSI) is an efficient tool for the computation of …
First-Order Perturbation Analysis of Secsi With Generalized Unfoldings
Tensor decompositions are regarded as a powerful tool for multidimensional signal
processing. In this contribution, we focus on the well-known Canonical Polyadic (CP) …
processing. In this contribution, we focus on the well-known Canonical Polyadic (CP) …
Analytical Performance Analysis of the SEmi-algebraic framework for approximate CP decompositions via SImultaneous matrix diagonalizations (SECSI)
The Canonical Polyadic (CP) decomposition of R-way arrays is a powerful tool in multi-
dimensional signal processing. There exists many methods to compute the CP …
dimensional signal processing. There exists many methods to compute the CP …
[HTML][HTML] Advanced signal processing concepts for multi-dimensional communication systems
SA Cheema - 2018 - db-thueringen.de
The widespread use of mobile internet and smart applications has led to an explosive
growth in mobile data traffic. With the rise of smart homes, smart buildings, and smart cities …
growth in mobile data traffic. With the rise of smart homes, smart buildings, and smart cities …
Algorithmes de diagonalisation conjointe par similitude pour la décomposition canonique polyadique de tenseurs: applications en séparation de sources
R André - 2018 - theses.hal.science
Cette thèse présente de nouveaux algorithmes de diagonalisation conjointe par similitude.
Cesalgorithmes permettent, entre autres, de résoudre le problème de décomposition …
Cesalgorithmes permettent, entre autres, de résoudre le problème de décomposition …