PROGRAMM - DAGA 2012

Programm DAGA 2012 231die Schritte erläutert, die zur Verarbeitung des empfangenen Ultraschallsignalsnotwendig sind. Weiterhin sollen die Fragen, die durch die optimierteHardware aufgeworfen werden, aufgezeigt und Lösungsansätzevorgestellt werden.Mi. 9:20 radon 3.05 SignalverarbeitungClassification of underwater acoustic signals using various extractionmethodsN. Korany, M. Elgezery und H. KhaterAlexandria UniversityAutomatic classification of underwater acoustic signals is used to enablea navy to identify the ships by recognizing the underwater soundthat they produce. In this paper, three types of features, Mel-FrequencyCepstrum coefficients (MFCC), Perceptual Linear Predictive Cepstrumcoefficients (PLPCC) and Relative Spectral Perceptual Linear Predictivecoefficients (RASTA-PLPCC) are extracted for the classification problem.The classifier identification rate is calculated using each type ofextracted features. The calculation is repeated while varying the numberof coefficients for each type, and the performance of the recognitionmodel is investigated.Mi. 9:45 radon 3.05 SignalverarbeitungInvestigation about the performance of GMM for the recognition ofunderwater acoustic signalsN. Korany, M. Elgezery und H. KhaterAlexandria UniversityGaussian Mixture Model, GMM, is used to classify the underwater soundsignals that are produced by different platforms. Mel-Frequency Cepstrumcoefficients (MFCC), Perceptual Linear Predictive Cepstrum coefficients(PLPCC) and Relative Spectral Perceptual Linear Predictive coefficients(RASTA-PLPCC) are extracted and are used within the GMM.A set of sound signals is used in the train phase of the recognition model,whereas another set of signals is used in the test phase. The GMMidentification rate is calculated using each type of extracted features.The calculation is repeated while varying some parameters such as thelength of the sound signals and the number of the Gaussian componentsof the model. The effect of varying these parameters on the performanceof the recognition model is investigated.