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Research of tempo features comparing audio records
Ištvánek, Matěj ; Galáž, Zoltán (referee) ; Kiska, Tomáš (advisor)
This thesis deals with technical properties of audio signals or more precisely of recordings from the prepared database and describes parameters which are used for music transcription and analysis of audio signals. It summarises information about music theory and automatic transcription of audio recordings, introduces specialist studies that deal with problems of signal analysis and their results. Furthermore it mentions attributes with the best ability to generally differentiate included songs from rhythmical and metrical aspects. Thesis analyses in the MATLAB language, from the prepared database, all interpretations of the piece "String Quartet No. 1 – IV. Con moto" from Leoš Janáček with two selected methods and shows results of the analysis and comparing of the methods. Finally the work summarizes all information and problems of the thesis.
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Analysis of AVG signals
Janeček, David ; Balogh, Jaroslav (referee) ; Rozman, Jiří (advisor)
This semestral project deals with analytical arteriovelocitogram (AVG). In the first part I a question of collection data AVG curve. Doppler effect and principal of Doppler‘s systems whose assistance data gain is analyzed in this semestral project. In the next part I focus on methods of analytic signals AVG. This means discribing the curve, calculating coefficients or methods for correct evaluation of the signal. These analyzes should categorize the measured data into groups according to pathological changes, of which doctors will determine the next course of treatment. The final chapter deals with the method of cluster analysis to classify data measured by Doppler systems. I deal with the algorithm method and choose the best clustering procedure. In the following section I concern with the practical part. I describe the data which were provided, the program selected for the analysis and the description of the alghoritm. The last chapter describes the results I’ve obtained.
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Analysis of sleep EEG signal
Ježek, Martin ; Kozumplík, Jiří (referee) ; Rozman, Jiří (advisor)
Cílem této práce byl vývoj programu pro automatickou detekci arousalu v signálu spánkového EEG s použitím metod časově-frekvenční analýzy. Předmětem studie bylo 13 celonočních polysomnografických nahrávek (čtyři svody EEG, EMG, EKG a EOG), tj. celkově více než 100 hodin záznamu. Jednalo se o část dat z dřívějších výzkumných prací expertní lékařky v problematice spánku Dr. Emilie Sforzy, Ženeva, Švýcarsko, která rovněž poskytla základní hodnocení těchto dat. V záznamech bylo celkem označeno 1551 arousal událostí. Pro usnadnění výběru konkrétní metody časově-frekvenční analýzy byla následně vytvořena sada nástrojů pro vizualizaci jednotlivých signálů a jejich různých časově-frekvenčních vyjádření. S ohledem na závěry vizuální analýzy, charakter signálu EEG a efektivitu výpočetních metod byla pro analýzu vybrána waveletová transformace s mateřskou vlnkou Daubechies řádu 6. Jednotlivé svody EEG byly dekomponovány do šesti frekvenčních pásem. Z takto odvozených signálů a signálu EMG byly následně stanoveny ukazatele možné přítomnosti události arousalu. Tyto ukazatele byly dále váhovány lineárním klasifikátorem, jehož hodnoty vah byly optimalizovány pomocí genetického algoritmu. Na základě hodnoty lineárního klasifikátoru bylo rozhodnuto o přítomnosti události arousalu v daném svodě EEG – arousal byl detekován, jestliže hodnota klasifikátoru překročila danou mez na dobu více než 3 a méně než 30 vteřin. V celém záznamu pak byl arousal označen, byl-li detekován alespoň v jednom ze svodů EEG. Následně byly odvozeny míry senzitivity a selektivity detekce, jež byly rovněž základem pro stanovení fitness funkce genetického algoritmu. Pro učení genetického algoritmu byly vybrány první čtyři záznamy. Na základě takto optimalizovaných vah vznikl program pro automatickou detekci, který na celém souboru 13 záznamů dosáhl ve srovnání s expertním hodnocením míry senzitivity 76,09%, selektivity 53,26% a specificity 97,66%.
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Signal Analyzer Based on DVB-T USB Tuner
Belica, Martin ; Grézl, František (referee) ; Černocký, Jan (advisor)
This bachelor thesis deals with the detection and analysis of a radio signals with the DVB-T USB tuner. The first step of the analysis is to capture some radio signal, in this case using a USB tuner. The next step is the appliction of signal processing algorithms. The most important algorithm for analysis is a discrete Fourier transform that is used to obtain a signal spectrum. Finally, several demodulation and filtering algorithms are used to better interpret the analyzed signal to the user.
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EEG Signal Analysis during the Stroop Test
Tolaszová, Eva ; Roman,, Robert (referee) ; Sekora, Jiří (advisor)
Master’s thesis deals with the measurement of biological signals for the effect of psychological burden. To monitor this effect was elected Stroop test, which is in the psychology used to detect disorders of attention and concentration. EEG and ECG signals during Stroop test were obtained using the EEG recording systém, in the context of research evoked potentials. As a part of the work it has been designed custom application for analyzing and interpreting data and statistical analysis by t-test.
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System of On-/Offline temperature measurement based on Lab View
Stejskal, David ; Hammer, Miloš (referee) ; Prostredník, Daniel (advisor)
The objective of this thesis was to create a LabVIEW-based program for temperature measurement using a personal computer. The program allows reading and post processing of digital signal from a measuring device. This device consists of a sensor type PT100, a measuring transducer and an analog-to-digital converter with USB output. The theoretical part of the thesis deals with resistance temperature sensors, signal analysis and methods for signal processing. The practical part is conceived as a guide to the created program. This part introduces vital sub-elements of the program and describes their principle, practical use and also the operating instructions. As required by thesis assignment, practical part includes verification of the measuring device, which was performed in laboratory of Czech Metrology Institute in Brno.
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Diagnosing Parkinson's disease from analysis of speech recording
Vymlátil, Petr ; Trzos, Michal (referee) ; Lněnička, Jakub (advisor)
This thesis is focused on diagnosing Parkinson’s disease from analysis of speech recording. Introduction of this work deals with description of voice production mechanism, it’s basic qualities and influence of hypokinetic dysarthria on speech. In next chapter, there is described voice signal and some methods of it’s preprocessing. Next part continues dealing with description of chosen individual symptoms, which are needed for PD diagnosing, followed by definition of chosen reduction methods and classifiers. There is a comparison of classify succes of naive bayes classifier, depending on chosen reduction method in last chapter of this work.
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LoRa Signal Analysis using SDR
Jeřábek, Ondřej ; Fedra, Zbyněk (referee) ; Povalač, Aleš (advisor)
This work deal with analysis of LoRa wireless communication protocol and LoRaWAN MAC layer. Analysis aims to LoRa packet detection using software defined radio, wireless trafic and information which can be extracted (sniffed) from wireless communication between devices which uses LoRaWAN MAC layer. Next part of this work describes two wireless devices development. First one for demonstration purporses with some type of commercial LoRa modules and second to paralell sniffing of LoRa wireless communication on various frequency channels.
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Tool for visualization and listening of vibration signals
Slavov, Jan ; Mancl, Vlastimil (referee) ; Čala, Martin (advisor)
This bachelor thesis deals with the development of a tool for visualization and listening of vibrational signals. The aim of the work is to find out the possibilities of the LabVIEW development environment in the area for which the application is intended, to further evaluate similar programs offered on the market and to create an application that will allow the user basic signal processing. The application also allows you to work with the myDAQ device and listen to signals through speakers, during which it will display the current playback position.
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Order Analysis
Honc, Lukáš ; Pikula, Stanislav (referee) ; Beneš, Petr (advisor)
This master's thesis deals with order analysis. The first part of the thesis describes common methods for order analysis and methods for processing tacho and vibration signal. The second part contains a brief description of some open source tools for order analysis focusing on Sound and Vibration Measurement Suite (SVMS) package for LabVIEW by National Instruments company. The main purpose of the thesis has been designing and realization of own library for order analysis as a plugin for development tool LabVIEW. In the library, there are implemented methods for order analysis including basic functions for processing vibration and tacho signal. Their brief description with manual for its usage is in the third part of the thesis. In the last chapter, implemented functions are compared with those, which are implemented in SVMS by National Instruments, using both simulated and real data.
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