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Multiple-input multiple-output (MIMO) radar is known for its superiority over conventional radar due to its antenna and waveform diversity. Although higher angular resolution, improved parameter identifiability, and better target detection are achieved, the hardware costs (due to multiple transmitters and multiple receivers) and high-energy consumption (multiple pulses) limit the usage of MIMO radars in large scale networks.
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.