Robin Scheibler

IEEE International Conference on Acoustics, Speech, and Signal Processing · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Robin Scheibler trusts overall

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

  1. Joseph H. DiBiase
  2. Matteo Frigo
  3. Steven G. Johnson

Who trusts Robin Scheibler overall

  1. Hyeong-Seok Choi
  2. Matthew Maciejewski
  3. Yao Qin
  4. Julius Richter
  5. Hoon Heo
  6. Gordon Wichern
  7. Nicholas Carlini
  8. Simon Welker

Papers from Robin Scheibler's perspective

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

  1. The Design and Implementation of FFTW3
  2. Image method for efficiently simulating small‐room acoustics
  3. Adaptive Filter Theory
  4. High-resolution frequency-wavenumber spectrum analysis
  5. Scikit-learn: Machine Learning in Python
  6. Python for Scientific Computing
  7. A High-Accuracy, Low-Latency Technique for Talker Localization in Reverberant Environments Using Microphone Arrays
  8. TOPS: new DOA estimator for wideband signals (IEEE Transactions on Signal Processing)
  9. Vectorizing the FFTs
  10. Introduction to algorithms

Their papers