الفهرس 
INTRODUCTIONOnly 14 pages are availabe for public view
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Abstract
All different Airtargets produce acoustical noise during the flight.This undesired noise may have much useful information to be used to discriminate between sources. This research is concerned to study the produced acoustical noisy signals and treat it as a useful signal.he produced Airtarget acoustic signal has been studied statistically in different domains to extract the discriminated parameters for each Airtarget. Four proposal methods have been designed.The Short Time-Series and Statistical analysis method, the Frequency and Statistical analysis method, Frequency-Time and Statistical analysis method and Hybrid analysis methods are proposed to extract the Airtarget features. Each method works in different analysis domain. These four proposed methods uses three analysis domains to analyze the Airtarget acoustic signal: Time domain, Frequency domain and Frequency-Time domain.The time domain analysis method used two techniques to extract the Airtarget discriminated features.Short-time series analysis and Segmentation analysis techniques cooperating with the statistical analysis are used to extract the available features about the Airtarget in the time domain.The frequency domain analysis is used to extract the unique features to discriminate between the Airtarget only in the frequency domain. The discrete cosine transform (DCT) method is applied to the captured Airtarget acoustic signal with the same concept of the used analysis techniques in the time domain analysis method. The Discrete Wavelet Transform (DWT) method is used in the Frequency-Time domain analysis. It is applied to extract the Airtarget features using its acoustic signal. The noise filtration properties of the DWT have been tested with the captured acoustic signal.