Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2011Real-time Sliding Phase Vocoder using a Commodity GPUcitations
  • 2008Sliding with a constant Qcitations

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Chart of shared publication
Bradford, Russell
2 / 3 shared
Dobson, Richard
2 / 5 shared
Chart of publication period
2011
2008

Co-Authors (by relevance)

  • Bradford, Russell
  • Dobson, Richard
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document

Sliding with a constant Q

  • Ffitch, John
  • Bradford, Russell
  • Dobson, Richard
Abstract

The linear frequency (constant-bandwidth) scale of the FFT has long been recognised as a disadvantage for audio processing.Long analysis windows are required for adequate low-frequency resolution, while small windows offer lower latency, better handling of transients, and reduced computation cost.A constant-$Q$ form of analysis offers the possibility of increased low-frequency resolution for a given window size, this resolution being essential for many fundamental processing tasks such as pitch shifting.We consider the application of the Sliding Discrete Fourier Transform to a Constant-$Q$ analysis.The increased flexibility of sliding allows for a variety of data alignments, and we produce the mathematical formulation of these.Windowing in the frequency domain introduces further complications.Finally we consider the implementation of the analysis on both serial and parallel computers.

Topics