# Maximum likelihood multiple-source localization using acoustic energy measurements with wireless sensor networks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/maximum-likelihood-multiple-source-localization-using-acoustic-energy/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Xiaohong Sheng,Yu Hen Hu |
| Citations | 719 |
| DOI | 10.1109/tsp.2004.838930 |
| Fields | Computer Science,Earth and Planetary Sciences,Engineering |
| Open Access | true |
| OA Status | green |
| OA URL | https://minds.wisconsin.edu/bitstream/1793/9112/1/file_1.pdf |
| OpenAlex ID | https://openalex.org/W2114404361 |
| Type | article |
| Year | 2004 |

## Paper authors

- [Yu Hen Hu](https://scholariq.org/researchers/yu-hen-hu/)

## Paper primary topic

- [Speech and Audio Processing](https://scholariq.org/topics/speech-and-audio-processing/)

## Paper topics

- [Speech and Audio Processing](https://scholariq.org/topics/speech-and-audio-processing/)
- [Indoor and Outdoor Localization Technologies](https://scholariq.org/topics/indoor-and-outdoor-localization-technologies/)
- [Underwater Acoustics Research](https://scholariq.org/topics/underwater-acoustics-research/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.