Signal detection in additive-multiplicative non-Gaussian noise using higher order statistics
| Autor: | Elena Palahina, Volodymyr Palahin |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Noise (signal processing)
020206 networking & telecommunications 02 engineering and technology White noise Multiplicative noise Gaussian random field symbols.namesake Additive white Gaussian noise Gaussian noise Statistics 0202 electrical engineering electronic engineering information engineering symbols 020201 artificial intelligence & image processing Algorithm Statistical hypothesis testing Statistical signal processing Mathematics |
| Zdroj: | 2016 26th International Conference Radioelektronika (RADIOELEKTRONIKA). |
| DOI: | 10.1109/radioelek.2016.7477367 |
| Popis: | This paper addresses the problem of signal detection in additive-multiplicative non-Gaussian noise, when the moment and cumulant functions are used to describe the random process. The new approach for statistical hypothesis testing is proposed. This approach is based on the development of the polynomial decision rules and new moment quality criterion statistical hypothesis testing. It is shown that nonlinear signals processing and taking into account the cumulants of third and higher order is allowed us to describe non-Gaussian process and increase the affectivity of signal processing. |
| Databáze: | OpenAIRE |
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