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Modern restoration of audio containing missing portions
Skyva, Pavel ; Mangová, Marie (referee) ; Rajmic, Pavel (advisor)
This bachelor thesis deals with modern method of audio signal restoration. The reconstruction is primarily based on sparse signal representations. In thesis is described the way of searching sparse coefficients using proximal Douglas-Rachford algorithm and following computation of reconstructed signal using this coefficients. The algorithm of reconstruction is implemented in the MATLAB software with toolbox LTFAT included. Results of the reconstruction are compared using objective evaluation method Signal-to-Noise ratio (SNR).
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Modern audio signal restoration methods
Kalník, Jan ; Mangová, Marie (referee) ; Rajmic, Pavel (advisor)
This bachelor thesis deals with modern methods of audio signal inpainting. Main methods used will be sparse signal representations. Those will be implemented into MATLAB software using LTFAT and UNLocBoX toolboxes. Next we would like to accomplish the best results with the audio inpainting and then compare these results as well as subjectively as objectively.
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Prediction of Multiple Time Series at Stock Market Trading
Palček, Peter ; Zbořil, František (referee) ; Rozman, Jaroslav (advisor)
The diploma thesis comprises of a general approach used to predict the time series, their categorization, basic characteristics and basic statistical methods for their prediction. Neural networks are also mentioned and their categorization with regards to the suitability for prediction of time series. A program for the prediction of the progress of multiple time series in stock market is designed and implemented, and it's based on a model of flexible neuron tree, whose structure is optimized using immune programming and parameters using a modified version of simulated annealing or particle swarm optimization. Firstly, the program is tested on its ability to predict simple time series and then on its ability to predict multiple time series.
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The impact of unemployment on economic development in the Visegrad group (V4) countries
Phan, Sreypech
This study has attempted to scrutinize the impact of unemployment on economic development in the Visegrad (V4) countries comprising the Czech Republic, Hungary, Poland, and Slovakia, using time series data obtained from the World Development Indicators over a 29-year period from 1993 to 2021. This study has employed the Autoregressive Distributed Lag (ARDL) technique for empirical investigation. GDP growth rate is a dependent variable employed as a proxy for economic development. In the present study, the explanatory variables are unemployment, inflation, and the labor force. The empirical findings indicate that the long-term relationship between economic growth and various independent variables differs significantly across four countries. In the Czech Republic, inflation and unemployment negatively affect economic growth in the long run. In Hungary, unemployment has a strong negative impact on economic growth, while the effect of inflation and the labor force on GDP is uncertain. In Poland, the labor force has a positive impact on GDP, while unemployment has a negative impact. In Slovakia, only the labor force has a negative impact on GDP in the long run. In the short run, the study found that unemployment had a significant negative impact on GDP in all four countries, while labor force and inflation had significant positive and negative effects, respectively, only in the Czech Republic and Poland. Additionally, the lagged values of unemployment had significant effects on current GDP in the Czech Republic, Poland, and Slovakia. The findings suggest that unemployment is an important determinant of economic growth in the short term in all four countries, while the impact of labor force and inflation on GDP is less clear, as they only have significant effects in some countries. The study provides insights into the determinants of economic growth in four Central European countries and highlights the importance of the unemployment rate as a short-term determinant of economic growth in all four countries. The study's findings suggest that policymakers in these countries should prioritize policies aimed at reducing unemployment to promote economic growth. Additionally, the study's findings can be valuable to researchers and policymakers seeking to understand the economic dynamics of Central European countries and design effective policies to promote economic growth.
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Durbin-Watson test
Lipták, Patrik ; Zvára, Karel (advisor) ; Anděl, Jiří (referee)
The Bachelor Thesis deals with Durbin-Watson test which is used to test an inde- pendence of residuals in a normal linear regression model. The test is applicable in a case of collecting data gradually and if values of a dependent variable form time series. In the first part, thesis provides detailed derivation of a distribution of test statistic (or its bounds), as well as conclusion describing how to make a right decision in testing a hypothesis that the value of correlation coefficient is equal to 0. In the second part, three practical examples with real data are used to demonstrate this theoretical basis. Moreover, calculations are supplemented by illustrative graphs and they are made in computing environment R for com- parison. 1
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Modern restoration of audio containing missing portions
Skyva, Pavel ; Mangová, Marie (referee) ; Rajmic, Pavel (advisor)
This bachelor thesis deals with modern method of audio signal restoration. The reconstruction is primarily based on sparse signal representations. In thesis is described the way of searching sparse coefficients using proximal Douglas-Rachford algorithm and following computation of reconstructed signal using this coefficients. The algorithm of reconstruction is implemented in the MATLAB software with toolbox LTFAT included. Results of the reconstruction are compared using objective evaluation method Signal-to-Noise ratio (SNR).
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Modern audio signal restoration methods
Kalník, Jan ; Mangová, Marie (referee) ; Rajmic, Pavel (advisor)
This bachelor thesis deals with modern methods of audio signal inpainting. Main methods used will be sparse signal representations. Those will be implemented into MATLAB software using LTFAT and UNLocBoX toolboxes. Next we would like to accomplish the best results with the audio inpainting and then compare these results as well as subjectively as objectively.
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Prediction of Multiple Time Series at Stock Market Trading
Palček, Peter ; Zbořil, František (referee) ; Rozman, Jaroslav (advisor)
The diploma thesis comprises of a general approach used to predict the time series, their categorization, basic characteristics and basic statistical methods for their prediction. Neural networks are also mentioned and their categorization with regards to the suitability for prediction of time series. A program for the prediction of the progress of multiple time series in stock market is designed and implemented, and it's based on a model of flexible neuron tree, whose structure is optimized using immune programming and parameters using a modified version of simulated annealing or particle swarm optimization. Firstly, the program is tested on its ability to predict simple time series and then on its ability to predict multiple time series.
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Antidekubital care and the differencies in nursing of dekubits in selected retiremens homes.
STEJSKALOVÁ, Petra
Population aging is the most characteristic feature of the demographic development of the Czech Republic and other developed countries in Europe. This demographic development will continue in the years to come. It will be enhanced by aging of members of the populous age-group and afterwards in particular by the increasing life expectancy. A large number of clients of retirement homes are immobile and incline to decubitus development. The objective of my work was to find differences in anti-decubitus equipment used in selected retirement homes and to ascertain awareness of nurses working in those facilities in respect of modern means to treat decubitus. I obtained the information by a questioning method, using a questionnaire completed by nurses working in retirement homes in the Region of South Bohemia; for comparison, the questionnaire was completed by nurses from a retirement home in the Region of Central Bohemia. A directed interview with selected seniors was also used. The results of the work may be used for analysis of different approaches, as far as usage of wound healing means is concerned, and for possible creation of a comprehensive conception in the field of application.
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