项目介绍

aishoot/Sound_Localization_Algorithms 是一个托管在 GitHub 上的开源项目,主要使用 Jupyter Notebook 编写,目前获得 472 个 Star、106 次 Fork。

仓库全名
aishoot/Sound_Localization_Algorithms
Star 数
472
Fork 数
106

README 摘要

Sound Source Localization Classical algorithms of sound source localization with beamforming, TDOA and high-resolution spectral estimation. Usage Algorithm Interpretation Beamforming: a spatial filtering method, is a signal processing technique used in sensor arrays for directional signal transmission or reception. MUSIC: Multiple Signal Classification ESPRIT: Estimation of Signal Parameters via Rotational…

完整内容见 GitHub 原始 README 或本页 。

常见问题

Sound_Localization_Algorithms 用什么语言开发?

主要使用 Jupyter Notebook 编写,目前有 472 个 Star。

如何获取 Sound_Localization_Algorithms 的源码?

可以直接克隆仓库:git clone https://github.com/aishoot/Sound_Localization_Algorithms.git,默认分支为 master;安装与运行步骤见仓库 README。

Sound_Localization_Algorithms 最近还在维护吗?

仓库最近一次更新为 2019年10月27日,当前没有未关闭的 Issue;Star 数为 472,可作为社区活跃度的参考。

关于

Classical algorithms of sound source localization with beamforming, TDOA and high-resolution spectral estimation.

描述取自 GitHub 官方 API,中文内容由 GitRead 中文社区 编辑团队整理。

简要分析

热度分
698
价值分
316
活跃状态
活跃

语言占比

Jupyter Notebook
MATLAB
Python

README

Sound Source Localization

Classical algorithms of sound source localization with beamforming, TDOA and high-resolution spectral estimation.

Usage

matlab -nodesktop -nosplash –r matlabfile (name of .m)

Algorithm Interpretation

  • Beamforming: a spatial filtering method, is a signal processing technique used in sensor arrays for directional signal transmission or reception.
  • MUSIC: Multiple Signal Classification
  • ESPRIT: Estimation of Signal Parameters via Rotational Invariance Technique
  • MVDR: Minimum Variance Distortionless Response
  • GCC-PHAT: Generalized Cross Correlation - Phase Transform (TDOA estimation)
  • SRP-PHAT: Steered Response Power - Phase Transform

Reference Paper

  • Paper 1
    • Title: Comparison of Direction of Arrival (DOA) Estimation Techniques for Closely Spaced Targets
    • Authors: Nauman Anwar Baig and Mohammad Bilal Malik
    • Published: International journal of future computer and communication 2, no. 6 (2013): 654
  • Paper 2

Results

1. Algorithm Summary

1.1 Classical Beamforming

1.2 Min-Norm

1.3 MUSIC

1.4 MVDR

2. Beamforming

2.1 microphone array

2.2 Two-dimensional map of localization result

2.3 Three-dimensional map of localization result

3. MUSIC

3.1 matlab_implement2 (BEST)

3.3 matlab_implement1

Reference Book

Reference Website

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