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The problem of quickest detection of a change in distribution is considered under the assumption that the pre-change distribution is known, and the post-change distribution is only known to belong to a family of distributions distinguishable from a discretized version of the pre-change distribution.
September 18-21, 2019
Location: Taipei, Taiwan
October 13-16, 2019
Location: Pittsburgh, PA, USA
White Paper Due: April 8, 2019
Publication Date: May 2020
CFP Document
Lecture Date: February 4, 2019
Chapter: Greece
Chapter Chair: Athanasios Rontogiannis
Topic: Graph Signal Processing
Lecture Date: February 1, 2019
Chapter: Greece
Chapter Chair: Athanasios Rontogiannis
Topic: Graph Signal Processing
Lecture Date: January 31, 2019
Chapter: Greece
Chapter Chair: Athanasios Rontogiannis
Topic: Graph Signal Processing
Lecture Date: February 19, 2019
Chapter: Princeton/Central Jersey
Chapter Chair: Donald G. 'Jerry' Bellott
Topic: Computational Imaging with Few Photons, Electrons, or Ions
Lecture Date: February 28, 2019
Chapter: Hong Kong
Chapter Chair: Yik-Chung Wu
Topic: Tackling the Cocktail Party Problem for Hearing Devices
The sliding discrete Fourier transform (SDFT) is an efficient method for computing the N-point DFT of a given signal starting at a given sample from the N-point DFT of the same signal starting at the previous sample [1]. However, the SDFT does not allow the use of a window function, generally incorporated in the computation of the DFT to reduce spectral leakage, as it would break its sliding property.
At the Audio Signal Processing Group, Friedrich-Alexander Universität Erlangen-Nürnberg, Germany, a fully funded postdoc position (100%, funded according to the German public service salary level TVL-E13) is available for a 2-year period from now on, with the possibility of extension subject to continued funding.
The Communication Systems Division of the CTTC is searching for interested candidates in a Researcher position for its Advanced Signal and Information Processing (ASIP) Department.