S. Andrew Gadsden

Artificial Intelligence · 2011

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom S. Andrew Gadsden trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Simon Justin Julier
  2. Simon S. Haykin
  3. Sarah K. Spurgeon
  4. Dan Simon
  5. Ienkaran Arasaratnam
  6. Rudolph van der Merwe
  7. Jeffrey K. Uhlmann
  8. B. Ristic
  9. Eric A. Wan
  10. Neil J. Gordon

Papers from S. Andrew Gadsden's perspective

Ordered by how strongly the researchers S. Andrew Gadsden trusts endorse each paper. Same corpus, a different order for every researcher.

  1. New Results in Linear Filtering and Prediction Theory
  2. Novel approach to nonlinear/non-Gaussian Bayesian state estimation
  3. Discrete-Time Nonlinear Filtering Algorithms Using Gauss–Hermite Quadrature (Proceedings of the IEEE)
  4. The square-root unscented Kalman filter for state and parameter-estimation (2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221))
  5. New developments in state estimation for nonlinear systems (at - Automatisierungstechnik)
  6. The scaled unscented transformation (Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301))
  7. Beyond the Kalman Filter: Particle Filters for Tracking Applications
  8. A new approach to linear filtering and prediction problems" transaction of the asme~journal of basic
  9. Cubature Kalman Filters (IEEE Transactions on Automatic Control)
  10. Kalman Filtering and Neural Networks

Their papers