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Identification of Spectral Components Significance
Dulesov, Egor
The purpose of this work is to compare the chosen methods of spectrum estimate and ways of identification of spectral components for realization to detect the stress in voice signal. Based on learning the special literature chooses the suitable methods of spectrum estimate. Determines an expected form and thresholds of voice signal in stress situation.
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Analysis of time-frequency characteristics of signals
Vitouš, Jiří ; Ředina, Richard (referee) ; Poměnková, Jitka (advisor)
This thesis focuses on time-frequency analysis of discrete signals. The aim of this work is to compare the most well known methods for spectro/scalegram estimation. The two main topics discussed are: The compromise between time and frequency resolution and the effect of noise in input data on the quality of estimated spectrograms. To achieve this a database has been created. This database consists of real and artificial signals on which the analysis can be performed and evaluated. This database is used in created demonstration application. This application is also used in a created laboratory task.
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Analysis of spectral characteristics of signals
Sedláček, Matyáš ; Klejmová, Eva (referee) ; Poměnková, Jitka (advisor)
The subject of this bachelor’s thesis are the properties of power spectral density estimates, mainly how their properties depend on the analyzed signal’s parameters and the method being used. Important signal properties from the perspective of spectral analysis are defined, as well as measures for judging the estimate. Based on those, a choice of nonparametric and parametric spectral estimation methods is described. Analysis is performed on simulated signals and the results generalized into a set of recommendations for finding an estimate via an optimal method. These recommendations are then scrutinized and further discussed through estimation of real signal PSDs. Included is an application in MATLAB App Designer for generating spectral estimates and a collection of signals used.
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Detection of radio communication signal in frequency domain
Zátyik, Ján ; Povalač, Karel (referee) ; Maršálek, Roman (advisor)
The purpose of my bachelor’s thesis is to describe different methods of detection of radio communication signal in frequency domain. Describes principle of methods Bartlett, Welch, Multitaper, Yule-Walker and Burg for power spectrum estimation of signal. Compares simulation of methods based on described theory with methods of the software MATLAB. Firstly, performs simulation for noiseless signals OFDM, 8PSK, CDMA and finds out their usability for these signals. Secondly, repeats simulations with the same configuration of methods for noisy signals and finds out their usability for real signals.
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Der Belagerungslager bei der Burg Hus bei Prachatitz
NOVÁK, Karel
This Diese Diplomarbeit beschäftigt sich mit dem Belagerungslager bei der Burg HUS bei Prachatitz. Das Ziel ist die räumliche Analyse und funktionelle Interpretation einzelnen Objekte, die bei der Untersuchung im Frühjahr und Sommer 2019 entdeckt wurden, und sie dann in historischen und archäologischen Kontext einzuordnen.
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Analysis of time-frequency characteristics of signals
Vitouš, Jiří ; Ředina, Richard (referee) ; Poměnková, Jitka (advisor)
This thesis focuses on time-frequency analysis of discrete signals. The aim of this work is to compare the most well known methods for spectro/scalegram estimation. The two main topics discussed are: The compromise between time and frequency resolution and the effect of noise in input data on the quality of estimated spectrograms. To achieve this a database has been created. This database consists of real and artificial signals on which the analysis can be performed and evaluated. This database is used in created demonstration application. This application is also used in a created laboratory task.
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Analysis of spectral characteristics of signals
Sedláček, Matyáš ; Klejmová, Eva (referee) ; Poměnková, Jitka (advisor)
The subject of this bachelor’s thesis are the properties of power spectral density estimates, mainly how their properties depend on the analyzed signal’s parameters and the method being used. Important signal properties from the perspective of spectral analysis are defined, as well as measures for judging the estimate. Based on those, a choice of nonparametric and parametric spectral estimation methods is described. Analysis is performed on simulated signals and the results generalized into a set of recommendations for finding an estimate via an optimal method. These recommendations are then scrutinized and further discussed through estimation of real signal PSDs. Included is an application in MATLAB App Designer for generating spectral estimates and a collection of signals used.
|
|
|
Identification of Spectral Components Significance
Dulesov, Egor
The purpose of this work is to compare the chosen methods of spectrum estimate and ways of identification of spectral components for realization to detect the stress in voice signal. Based on learning the special literature chooses the suitable methods of spectrum estimate. Determines an expected form and thresholds of voice signal in stress situation.
|
|
|
Detection of radio communication signal in frequency domain
Zátyik, Ján ; Povalač, Karel (referee) ; Maršálek, Roman (advisor)
The purpose of my bachelor’s thesis is to describe different methods of detection of radio communication signal in frequency domain. Describes principle of methods Bartlett, Welch, Multitaper, Yule-Walker and Burg for power spectrum estimation of signal. Compares simulation of methods based on described theory with methods of the software MATLAB. Firstly, performs simulation for noiseless signals OFDM, 8PSK, CDMA and finds out their usability for these signals. Secondly, repeats simulations with the same configuration of methods for noisy signals and finds out their usability for real signals.
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