Eric A. Lehmann
Signal Processing · 2003–2016
A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 5 citations into it
Whom Eric A. Lehmann trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Eric A. Lehmann overall
Papers from Eric A. Lehmann's perspective
Ordered by how strongly the researchers Eric A. Lehmann trusts endorse each paper. Same corpus, a different order for every researcher.
- Sequential Monte Carlo Methods in Practice
- Image method for efficiently simulating small‐room acoustics
- Novel approach to nonlinear/non-Gaussian Bayesian state estimation
- A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking (IEEE Transactions on Signal Processing)
- Maximum-likelihood source localization and unknown sensor location estimation for wideband signals in the near-field (IEEE Transactions on Signal Processing)
- Sequential Monte Carlo methods for multiple target tracking and data fusion (IEEE Transactions on Signal Processing)
- Microphone Arrays Signal Processing Techniques and Applications
- Adaptive eigenvalue decomposition algorithm for passive acoustic source localization (Journal of the Acoustical Society of America)
- The Unscented Particle Filter
- Particle filters for state estimation of jump Markov linear systems (IEEE Transactions on Signal Processing)
Their papers
- A max-stable process model for rainfall extremes at different accumulation durations (2016) — 49 citations
- Particle filtering algorithms for tracking an acoustic source in a reverberant environment (2003) — 367 citations