A Study of the Complexity and Accuracy of Direction of Arrival Estimation Methods Based on GCC-PHAT for a Pair of Close Microphones

11/28/2018
by   Francois Grondin, et al.
0

This paper investigates the accuracy of various Generalized Cross-Correlation with Phase Transform (GCC-PHAT) methods for a close pair of microphones. We investigate interpolation-based methods and also propose another approach based on Singular Value Decomposition (SVD). All investigated methods are implemented in C code, and the execution time is measured to determine which approach is the most appealing for real-time applications on low-cost embedded hardware.

READ FULL TEXT
research
07/29/2019

Fast and Robust 3-D Sound Source Localization with DSVD-PHAT

This paper introduces a variant of the Singular Value Decomposition with...
research
04/21/2021

Accurate and fast matrix factorization for low-rank learning

In this paper we tackle two important challenges related to the accurate...
research
04/28/2022

Fast Cross-Correlation for TDoA Estimation on Small Aperture Microphone Arrays

This paper introduces the Fast Cross-Correlation (FCC) method for Time D...
research
08/26/2022

SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation

With the tremendous success of Graph Convolutional Networks (GCNs), they...
research
02/20/2018

Nanosecond-precision Time-of-Arrival Estimation for Aircraft Signals with low-cost SDR Receivers

Precise Time-of-Arrival (TOA) estimations of aircraft and drone signals ...
research
11/06/2020

Efficient Robust Watermarking Based on Quaternion Singular Value Decomposition and Coefficient Pair Selection

Quaternion singular value decomposition (QSVD) is a robust technique of ...
research
04/25/2018

On Optimizing Distributed Tucker Decomposition for Sparse Tensors

The Tucker decomposition generalizes the notion of Singular Value Decomp...

Please sign up or login with your details

Forgot password? Click here to reset