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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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VST Plug-in for Dynamic Processing of Audio Signal
Zoň, Robin ; Frenštátský, Petr (referee) ; Schimmel, Jiří (advisor)
The aim of this thesis is the implementation of effects for adjusting the signal dynamics. This project includes four basic dynamic effects - compressor, expander, limiter and noise gate. The first part is developed in Matlab software. This solution offers signal sidechain input, display of signal waveforms of each block of sidechain branch, recording output signal and allows storage of output characteristics. In the second part, the effect is being realized using VST technology, which offers the possibility of changing the parameters in real time and displaying and recording the signal at various points within the control branch. Project also includes a brief discussion of the use of such dynamic effects in practice and collection of model examples to demonstrate the use of such effects.
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Modeling of Linear Distortion of Audio Devices
Vrbík, Matouš ; Sysel, Petr (referee) ; Schimmel, Jiří (advisor)
Methods used for correction and modeling of frequency response of sound devices are discussed in this paper. Besides classic methods of digital filter design, more advanced and complex numerial methods are reviewed, Prony and Steiglitz-McBride in particular. This paper focuses on structure utilizing parallel sections of second-order IIR filters. Methods for calculating coefficients of this structure are presented and later implemented. For selected method, utilizing dual frequency warping, an interative algorithm for automatic calculation of parameters necessary to filter design is implemented - so called Particle Swarm Optimization. Six ways of evaluation filter design precision are presented and the results are compared. Functions realizing filter design are implemented in C++, MATLAB and Python. A VST module simulating the filter in real time is also provided.
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Beamforming system with FPGA
Vadinský, Václav ; Vágner, Martin (referee) ; Havránek, Zdeněk (advisor)
This thesis deals with processing signals from the microphone arrays for sound source localization. Compares different types of fields, such as cross-field and circular array. It is shown here how to implement Beamforming on FPGA and design of signal processing with a microphone array.
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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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|
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Modeling of Linear Distortion of Audio Devices
Vrbík, Matouš ; Sysel, Petr (referee) ; Schimmel, Jiří (advisor)
Methods used for correction and modeling of frequency response of sound devices are discussed in this paper. Besides classic methods of digital filter design, more advanced and complex numerial methods are reviewed, Prony and Steiglitz-McBride in particular. This paper focuses on structure utilizing parallel sections of second-order IIR filters. Methods for calculating coefficients of this structure are presented and later implemented. For selected method, utilizing dual frequency warping, an interative algorithm for automatic calculation of parameters necessary to filter design is implemented - so called Particle Swarm Optimization. Six ways of evaluation filter design precision are presented and the results are compared. Functions realizing filter design are implemented in C++, MATLAB and Python. A VST module simulating the filter in real time is also provided.
|
|
|
VST Plug-in for Dynamic Processing of Audio Signal
Zoň, Robin ; Frenštátský, Petr (referee) ; Schimmel, Jiří (advisor)
The aim of this thesis is the implementation of effects for adjusting the signal dynamics. This project includes four basic dynamic effects - compressor, expander, limiter and noise gate. The first part is developed in Matlab software. This solution offers signal sidechain input, display of signal waveforms of each block of sidechain branch, recording output signal and allows storage of output characteristics. In the second part, the effect is being realized using VST technology, which offers the possibility of changing the parameters in real time and displaying and recording the signal at various points within the control branch. Project also includes a brief discussion of the use of such dynamic effects in practice and collection of model examples to demonstrate the use of such effects.
|
|
|
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.
|
|
|
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
|
|
|
Beamforming system with FPGA
Vadinský, Václav ; Vágner, Martin (referee) ; Havránek, Zdeněk (advisor)
This thesis deals with processing signals from the microphone arrays for sound source localization. Compares different types of fields, such as cross-field and circular array. It is shown here how to implement Beamforming on FPGA and design of signal processing with a microphone array.
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