Search for dissertations about: "continuous wavelet transform"
Showing result 1 - 5 of 6 swedish dissertations containing the words continuous wavelet transform.
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1. Multivariate Measurements and Chemical Imaging of Organic Compounds
Abstract : Chemical imaging is an emerging analytical technique, based on the interplay between, most often, spectroscopic measurements and advanced evaluation methodology. With this we can study the distribution of chemical compounds in different compartments, such as individual cells and pharmaceutical tablets. READ MORE
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2. Wavelet and Spectral Analysis of Some Selected Problems in Reactor Diagnostics
Abstract : Both spectral and wavelet analysis were successfully used in various diagnostic problems involving non-stationary core processes in nuclear power reactors. Three different problems were treated: two-phase flow identification, detector tube impacting and core-barrel vibrations. READ MORE
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3. Seismic Investigations at the Ketzin CO2 Injection Site, Germany: Applications to Subsurface Feature Mapping and CO2 Seismic Response Modeling
Abstract : 3D seismic data are widely used for many different purposes. Despite different objectives, a common goal in almost all 3D seismic programs is to attain better understanding of the subsurface features. READ MORE
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4. Chemometric and signal processing methods for real time monitoring and modeling : applications in the pulp and paper industry
Abstract : In the production of paper, the quality of the pulp is an important factor both for the productivity and for the final quality. Reliable real-time measurements of pulp quality are therefore needed. 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