Name
Title | ||
|---|---|---|
Directional splitting of Gaussian density in non-linear random variable transformation. |
Abstract | ||
|---|---|---|
Transformation of a random variable is a common need in a design of many algorithms in signal processing, automatic control, and fault detection. Typically, the design is tied to an assumption on a probability density function of the random variable, often in the form of the Gaussian distribution. The assumption may be, however, difficult to be met in algorithms involving non-linear transformation... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1049/iet-spr.2017.0286 | IET Signal Processing |
Keywords | Field | DocType |
approximation theory,Gaussian distribution,minimisation,transforms | Applied mathematics,Signal processing,Gaussian mixture distribution,Random variable,Nonlinear system,Fault detection and isolation,Control theory,Automatic control,Gaussian,Probability density function,Mathematics | Journal |
Volume | Issue | ISSN |
12 | 9 | 1751-9675 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jindrich Duník | 1 | 128 | 15.48 |
| Ondrej Straka | 2 | 169 | 24.33 |
| Benjamin Noack | 3 | 168 | 23.73 |
| Jannik Steinbring | 4 | 39 | 4.20 |
| Uwe D. Hanebeck | 5 | 944 | 133.52 |