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A steered response power approach with bilinear prediction-based trade-off prewhitening for speaker localization
This paper studies the problem of acoustic source localization in room environments. It
presents an improved steered response power (SRP) approach with low-complexity and …
presents an improved steered response power (SRP) approach with low-complexity and …
Normalized Multichannel Frequency-Domain LMS Filter With Nearest Kronecker Product Decomposition for Blind Identification of Low-Rank Acoustic Systems
This paper proposes a multichannel frequency-domain adaptive filtering algorithm to blindly
identify low-rank acoustic systems. The model filters of the multichannel acoustic impulse …
identify low-rank acoustic systems. The model filters of the multichannel acoustic impulse …
Normalized frequency‐domain block sign algorithm using ℓ 1 ℓ_1‐norm minimization
In this letter, a normalized frequency‐domain block sign‐error algorithm (NFBSA) is
proposed by minimizing the ℓ 1 ℓ_1‐norm of the posteriori error vector for filter weight. The …
proposed by minimizing the ℓ 1 ℓ_1‐norm of the posteriori error vector for filter weight. The …
On the Decomposition Parameter of the RLS Algorithm Based on the Nearest Kronecker Product
Decomposition-based algorithms have gained much attention lately, in the context of low-
rank system identification problems. These algorithms exploit the nearest Kronecker product …
rank system identification problems. These algorithms exploit the nearest Kronecker product …
Iterative Wiener Filter Based on Third-Order Tensor Decomposition and Coordinate Descent Method
Tensor-based signal processing methods can lead to efficient solutions for system
identification problems that involve a large parameter space, eg, a long length impulse …
identification problems that involve a large parameter space, eg, a long length impulse …
[PDF][PDF] Design of Third-Order Tensorial RLS Adaptive Filtering Algorithms
A recently developed Recursive Least-Squares (RLS) adaptive filter based on a Third-Order
Tensor (TOT) decomposition technique, namely RLS-TOT, has proved to be efficient in …
Tensor (TOT) decomposition technique, namely RLS-TOT, has proved to be efficient in …