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Importance sampling simulation of orthogonal space-time block coded systems
Kim Chi Nguyen
, Robert Philipsz
,
Upul Gunawardana
,
Ranjith Liyanapathirana
School of Engineering, Design & Built Environment
Research output
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Chapter in Book / Conference Paper
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Conference Paper
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Dive into the research topics of 'Importance sampling simulation of orthogonal space-time block coded systems'. Together they form a unique fingerprint.
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Engineering
Orthogonal Space
100%
Coded System
100%
Signal-to-Noise Ratio
50%
Computational Efficiency
50%
Bit Error Rate
50%
Rayleigh Fading Channel
50%
Sampling Technique
50%
Additive White Gaussian Noise
50%
Noise Process
50%
Digital Communication System
50%
Computer Science
space-time block coded
100%
Importance Sampling
100%
Sampling Technique
33%
Computational Efficiency
33%
rayleigh-fading channel
33%
Unbiased Estimator
33%
Small Sample Size
33%
Additive White Gaussian Noise
33%
Signal-to-Noise Ratio
33%
Input Distribution
33%
Monte Carlo Estimator
33%
Mathematics
Importance Sampling
100%
Rayleigh
66%
Variance
33%
Unbiased Estimator
33%
Noise Ratio
33%
Monte Carlo
33%
Error Rate
33%
Sampling Technique
33%
Bit Error
33%
White Gaussian Noise Process
33%
Monte Carlo Method
33%
Digital Communication System
33%