A Comparison of Noise Generation Techniques and the Effects on Inverse Problem Calculations
NORTH CAROLINA STATE UNIV AT RALEIGH CENTER FOR RESEARCH IN SCIENTIFIC COMPUTATION
Pagination or Media Count:
To test the performance of an algorithm for an inverse problem for cases similar to those under which experimental data is used, random noise can be added to given simulated data. The most common way to do this is to use white noise generated by a uniformly or normally distributed random sequence. Another possibility is to use noise given by the so-called Rice Representation of random noise. We compare results for these two kinds of noise.
- Operations Research