A fast signal subspace approach for the determination of absolute levels from phased microphone array measurements

By Ennes Sarradj. 2010

168 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Biomedical Engineering, Signal Processing

View Paper: https://www.semanticscholar.org/paper/4cb7a74821c78c8885044dc5d87778ec1040d2ba

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Yi Luo
2. Nima Mesgarani
3. Shih-Chii Liu
4. Cong Han
5. Enea Ceolini
6. Ennes Sarradj

In Biomedical Engineering

1. Yi Luo
2. Nima Mesgarani
3. Shih-Chii Liu
4. Cong Han
5. Enea Ceolini
6. Ennes Sarradj
7. Davide Scaramuzza

In Signal Processing

1. Nima Mesgarani
2. Yi Luo
3. Cong Han
4. Shih-Chii Liu
5. Enea Ceolini
6. Ennes Sarradj
7. Yossi Adi
8. Jonathan Le Roux

Citations in the corpus

• FaSNet: Low-Latency Adaptive Beamforming for Multi-Microphone Audio Processing (2019, methodology): “For both these classes the eigendecomposition method is used in order to estimate the steering vector [45] from the estimated spatial covariance.”
• Three-Dimensional Acoustic Source Mapping with Different Beamforming Steering Vector Formulations (2012, background): “Thus, the presence of multiple sources has an impact on the performance of the beamformer filter (see [23]).”