François Auger

Control and Systems Engineering · 2013

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom François Auger trusts overall

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

  1. Joachim Holtz
  2. Gaurav Singh Thakur
  3. John W. Finch
  4. Ingrid Daubechies
  5. Hau‐Tieng Wu
  6. Rui Xiong
  7. D. Giaouris
  8. Dan Simon
  9. Shengyong Chen
  10. Jianfeng Lu

Who trusts François Auger overall

  1. Gang Yu
  2. Sylvain Meignen
  3. Thomas Oberlin
  4. Duong-Hung Pham
  5. Ratikanta Behera
  6. Zhonghua Wang
  7. Ming-Xin Yu

Papers from François Auger's perspective

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

  1. Synchrosqueezed wavelet transforms: An empirical mode decomposition-like tool
  2. One or Two Frequencies? The Empirical Mode Decomposition Answers (IEEE Transactions on Signal Processing)
  3. Review of position-sensorless operation of brushless permanent-magnet machines (IEEE transactions on industrial electronics (1982. Print))
  4. Evaluation on State of Charge Estimation of Batteries With Adaptive Extended Kalman Filter by Experiment Approach (IEEE Transactions on Vehicular Technology)
  5. Sensorless Control of Induction Machines - With or Without Signal Injection? (IEEE transactions on industrial electronics (1982. Print))
  6. A new approach to linear filtering and prediction problems" transaction of the asme~journal of basic
  7. The Synchrosqueezing algorithm for time-varying spectral analysis: Robustness properties and new paleoclimate applications (Signal Processing)
  8. Miller's Anesthesia
  9. 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))
  10. On-line estimation of permanent magnet flux linkage ripple for PMSM based on a Kalman filter (Annual Conference of the IEEE Industrial Electronics Society)

Their papers