Search for dissertations about: "empirical mode decomposition"
Found 5 swedish dissertations containing the words empirical mode decomposition.
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1. Adaptive image compression with wavelet packets and empirical mode decomposition
Abstract : This thesis addresses the problem of using wavelet packets and empirical mode decomposition (EMD) for image compression. The wavelet packet basis selection algorithm is studied through an extensive experimental survey of the generated decomposition trees. READ MORE
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2. Image Filtering Methods for Biomedical Applications
Abstract : Filtering is a key step in digital image processing and analysis. It is mainly used for amplification or attenuation of some frequencies depending on the nature of the application. Filtering can either be performed in the spatial domain or in a transformed domain. READ MORE
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3. Experimental analysis of thermal mixing at reactor conditions
Abstract : High-cycle thermal fatigue arising from turbulent mixing of non-isothermal flows is a key issue associated with the life management and extension of nuclear power plants. The induced thermal loads and damage are not fully understood yet. READ MORE
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4. Numerical methods for load and response prediction for use in acoustic fatigue
Abstract : Acoustic fatigue can occur in structural elements of an aircraft exposed to very high sound pressures. To deal with acoustic fatigue, mainly empirical methods have been applied and often late in the design phase. Current design guidelines have three main limitations. First, they do not say anything about the load intensities. READ MORE
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5. Feature Extraction for Low-Frequency Signal Classification
Abstract : The development of the International Monitoring System (IMS) for the verification of the Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO) has led to a rapid revival of interest in infrasound. Furthermore, the installation of low-frequency sensors at seismic sites has increased in recent years, providing researchers with large and heterogeneous data-sets in near real-time. READ MORE