The Generalised Bessel function K distribution and its application to the detection of signals in the presence of non-Gaussian interference
Iskander, D. R., (1997) The Generalised Bessel function K distribution and its application to the detection of signals in the presence of non-Gaussian interference. .
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|Item Type:||QUT Thesis (PhD)|
|Additional Information:||Presented to the Signal Processing Research Centre, Queensland University of Technology.|
|Keywords:||Signal detection Mathematical models, Gaussian distribution, Bessel functions, Radar Interference Mathematical models, Random noise theory, Signal theory (Telecommunication), Bessel functions, classification, clutter, detection, estimation, Gamma distribution, Gaussian distribution, Gaussianity testing, interference, K-distribution, narrowband random process, Neyman-Pearson criterion, noise, non-Gaussian distributions, optimal detector, radar, random process, Rayleigh distribution, signals, signal processing, spherically invariant random process, target, Weibull distribution, thesis, doctoral|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering|
Past > Schools > School of Engineering Systems
|Institution:||Queensland University of Technology|
|Copyright Owner:||Copyright D. R., Iskander|
|Deposited On:||22 Sep 2010 23:04|
|Last Modified:||29 Aug 2013 15:35|
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