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Multiple importance sampling for efficient symbol error rate estimation
Victor Elvira
*
, Ignacio Santamaria
*
Corresponding author for this work
School of Mathematics
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Dive into the research topics of 'Multiple importance sampling for efficient symbol error rate estimation'. Together they form a unique fingerprint.
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Mathematics
Importance Sampling
100%
Rare Event
100%
Error Rate
100%
Monte Carlo
75%
Sampling Technique
50%
Closed Form
25%
Polytope
25%
Dimensional Lattice
25%
Proposal Distribution
25%
Half Space
25%
Time Order
25%
Taking Place
25%
Noise Ratio
25%
Random Noise
25%
Integral
25%
Event Occurs
25%
Digital Communication System
25%
Computer Science
Importance Sampling
100%
Symbol Error Rate
100%
Monte Carlo Simulation
50%
Sampling Technique
50%
Noise-to-Signal Ratio
25%
Transmitted Symbol
25%
Proposal Distribution
25%
Gaussian White Noise
25%
Dimensional Lattice
25%
Simulation Time
25%
Physics
Monte Carlo Method
100%
Monte Carlo
50%
Half Spaces
50%
Signal-to-Noise Ratio
50%
Pulse Communication
50%
Random Noise
50%
Engineering
Symbol Error Rate
100%
Sampling Technique
50%
Two Dimensional
25%
Signal-to-Noise Ratio
25%
Gaussian White Noise
25%
Simulation Time
25%
Digital Communication System
25%
Closed Form
25%
Medicine and Dentistry
Monte Carlo Method
100%
Signal-to-Noise Ratio
50%