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Simple speech recognition algorithm for microcontroller
Vedra, Lukáš ; Šrámek, Petr (referee) ; Fedra, Zbyněk (advisor)
The bachelor thesis deals with speech recognition commands on the microcontroller Atmel AVR family. The thesis describes methods of recognition, influence of a sampling frequency selection, lengths of a sequence used, and a number of possible orders with respect to computing speed and memory capacity of the microcontroller. Furthermore, successful acquisition of orders is tested. It also discusses comparison options of an imprint saved in a dictionary command, or more precisely in a database of the microcontroller and a word which has just been uttered. The work also deals with a mechanical system design of the device.
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Kalman-Bucy Filter in Continuous Time
Týbl, Ondřej ; Maslowski, Bohdan (advisor) ; Čoupek, Petr (referee)
In the Thesis we study the problem of linear filtration of Gaussian signals in finite-dimensional space. We use the Kalman-type equations for the filter to show that the filter depends continuously on the signal. Secondly, we show the same continuity property for the covariance of the error and verify existence and uniqueness of a solution to an integral equation that is satisfied by the filter even under more general assumptions. We present several examples of application of the continuity property that are based on the theory of stochastic differential equations driven by fractional Brownian motion. 1
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Kalman-Bucy Filter in Continuous Time
Týbl, Ondřej ; Maslowski, Bohdan (advisor) ; Čoupek, Petr (referee)
In the Thesis we study the problem of linear filtration of Gaussian signals in finite-dimensional space. We use the Kalman-type equations for the filter to show that the filter depends continuously on the signal. Secondly, we show the same continuity property for the covariance of the error and verify existence and uniqueness of a solution to an integral equation that is satisfied by the filter even under more general assumptions. We present several examples of application of the continuity property that are based on the theory of stochastic differential equations driven by fractional Brownian motion. 1
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ECG baseline wander correction based on the empirical mode decomposition
Šlancar, Matěj ; Smital, Lukáš (referee) ; Kozumplík, Jiří (advisor)
The aim of this thesis is to introduce with principle of Empirical Mode Decomposition method and possibility use for correction of baseline wander in ECG signals. The thesis describes the main components of the ECG signal, a selection of possible types of signal noise, its property and principles of chosen methods for filtration of ECG signals. In conclusion the evaluation of the effectiveness of the EMD method for filtering a baseline wander and it comparing with effectiveness of the linear filtration. Functionality of used algorithms has been tested on signals of CSE standard library.
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Suppression of power-line interference in ECG signals
Gregorová, Kateřina ; Vítek, Martin (referee) ; Kozumplík, Jiří (advisor)
This work includes an overview of the different methods of filtering of ECG signals that suppress the network interference. It focuses on the parameters that affect the quality of filtration for the three main groups of filters: FIR, IIR and adaptive filters. The main objective is to evaluate proposed methods in terms of the quality of filtration. This quality is rated an average output SNR, standard deviation and time filtering. The criteria of success is based on the filtration of the basic requirements on digital filters. Design of filter is realized in the Matlab programming environment.
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Simple wavelet filter of ECG signals
Doležel, Jiří ; Ronzhina, Marina (referee) ; Smital, Lukáš (advisor)
The work deals with wavelet transfom and its possibilities of using it for elimination muscle noise from ECG signals. The first part of this thesis describes basic properties of ECG signal, the most common types of noise and describes basic types of wavelet transform, which are used for filtering the signals. Others parts describe a process of ECG signals wavelet filter design and afterwards the most appropriate setting are described. Finally results of filtration are evaluated, based on improved SNR, and compared with other author’s results.
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Linear and Adaptive Filters for ECG Signals
Kubát, Milan ; Lamoš, Martin (referee) ; Kozumplík, Jiří (advisor)
In this work, I deal with ECG signal interference suppression using linear and adaptive filters. This falls in field of signal preprocessing. The aim is to properly filter the signal, while maintaining its diagnostic value. I designed filters based on spectral lines resetting, Lynn’s filters and two types of adaptive filters. In the next part, results of different filtering ways are compared.
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Simple speech recognition algorithm for microcontroller
Vedra, Lukáš ; Šrámek, Petr (referee) ; Fedra, Zbyněk (advisor)
The bachelor thesis deals with speech recognition commands on the microcontroller Atmel AVR family. The thesis describes methods of recognition, influence of a sampling frequency selection, lengths of a sequence used, and a number of possible orders with respect to computing speed and memory capacity of the microcontroller. Furthermore, successful acquisition of orders is tested. It also discusses comparison options of an imprint saved in a dictionary command, or more precisely in a database of the microcontroller and a word which has just been uttered. The work also deals with a mechanical system design of the device.
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Narrow Band Filtering of ECG Signals
Ryšánek, Jan ; Provazník, Ivo (referee) ; Kozumplík, Jiří (advisor)
This work deals with ECG signal preprocessing. Purpose of the preprocessing is adjustment of signal which is favorable for its subsequent analysis. The objective of this work is to filter the ECG signal by suitable methods of linear and adaptive filtering leading to the suppression of unwanted interference. The next step is to compare different degrees of success filtering thanks to results which were reached by the indivudual methods. Criterions of success filtering are based on the basic requirements for digital filters. Design of filters is realized in matlab programme. To realization is used FIR and IIR type of filters and adaptive type of filters
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