Neural Network Based Diagnostic Indication of a Liquid Propellant Engine with Faulty Data Collection System

S. Khodadadiyan; R. Farokhi; D. Ramesh

Volume 7, Issue 2 , July 2014, , Pages 75-83

Abstract
  The aim of the paper is to describe a methodology of damage detection in the liquid propellant engine which is based on artificial neural networks in combination with stochastic analysis. It is assumed that the liquid propellant engine have faulty data collection system. Then a filtering algorithm for ...  Read More

Multi-Receiver Modulation Classification for Satellite ommunications Signals

M. Farhang; H. Dehghani

Volume 4, Issue 2 , January 2012, , Pages 63-70

Abstract
  Automatic Modulation Recognition is an important task for intelligent receivers in modern communication systems, in which several modulation types are used. In order to improve the performance of modulation classification systems, the idea of multi-receiver recognition has been developed recently. In ...  Read More