Search for dissertations about: "spectroscopy processing"
Showing result 1 - 5 of 178 swedish dissertations containing the words spectroscopy processing.
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1. Spectral analysis and magnetic resonance spectroscopy
Abstract : This dissertation is concerned with nonparametric approaches for spectral analysis (SA) and algorithms for magnetic resonance spectroscopy (MRS) data analysis.A method to obtain the optimal smoothing window for the class of SA methods based on local smoothing of the periodogram is proposed. READ MORE
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2. Advanced Spectral Analysis with Applications
Abstract : Spectral analysis has advanced the last decades as a signal processing tool to extract significant information about certain properties of measured data. The practical use of spectral analysis techniques in time-series analysis has been emphasized in the immense amount of previous literature in the field and by a rapidly growing number of applications. READ MORE
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3. Spectral Image Processing with Applications in Biotechnology and Pathology
Abstract : Color theory was first formalized in the seventeenth century by Isaac Newton just a couple of decades after the first microscope was built. But it was not until the twentieth century that technological advances led to the integration of color theory, optical spectroscopy and light microscopy through spectral image processing. READ MORE
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4. Parametric methods for frequency-selective MR spectroscopy
Abstract : Accurate and efficient quantitation of the data components in magnetic resonance spectroscopy (MRS) signals can be an important step in the analysis of biochemical substances. In several practical applications of MR spectroscopy the user is interested only in the data components lying in a small frequency band of the spectrum. READ MORE
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5. Aspects of Electrical Bioimpedance Spectrum Estimation
Abstract : Electrical bioimpedance spectroscopy (EBIS) has been used to assess the status or composition of various types of tissue, and examples of EBIS include body composition analysis (BCA) and tissue characterisation for skin cancer detection. EBIS is a non-invasive method that has the potential to provide a large amount of information for diagnosis or monitoring purposes, such as the monitoring of pulmonary oedema, i. READ MORE