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ORCIDMuhammad Altamash Khan
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2010 – 2019
- 2019
[c7]Muhammad Altamash Khan:
Comparison of Track to Track fusion methods for nonlinear process and measurement models. SDF 2019: 1-8- 2017
- [c6]Muhammad Altamash Khan, Allan De Freitas, Lyudmila Mihaylova, Martin Ulmke, Wolfgang Koch:
Bayesian processing of big data using log homotopy based particle flow filters. SDF 2017: 1-6 - 2016
- [c5]Bruno Demissie, Muhammad Altamash Khan, Felix Govaers:
Nonlinear filter design using Fokker-Planck propagator in Kronecker tensor format. FUSION 2016: 1-8 - [c4]Muhammad Altamash Khan, Martin Ulmke, Bruno Demissie, Felix Govaers, Wolfgang Koch:
Combining log-homotopy flow with tensor decomposition based solution for Fokker-Planck equation. FUSION 2016: 2229-2236 - [c3]Muhammad Altamash Khan, Martin Ulmke, Wolfgang Koch:
A log homotopy based particle flow solution for mixture of Gaussian prior densities. MFI 2016: 546-551 - 2015
- [j1]György Dán
, Muhammad Altamash Khan, Viktoria Fodor:
Characterization of SURF and BRISK Interest Point Distribution for Distributed Feature Extraction in Visual Sensor Networks. IEEE Trans. Multim. 17(5): 591-602 (2015) - [c2]Muhammad Altamash Khan, Martin Ulmke:
Improvements in the implementation of log-homotopy based particle flow filters. FUSION 2015: 74-81 - 2013
- [c1]Muhammad Altamash Khan, György Dán, Viktoria Fodor:
Characterization of SURF interest point distribution for visual processing in sensor networks. DSP 2013: 1-7
Coauthor Index
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