|
|
Estimation of Fundamental Speech Frequency
Ráček, Tomáš ; Vlach, Jan (referee) ; Vondra, Martin (advisor)
The Bachelor thesis focuses on algorithms with respect to estimation of fundamental speech frequency. First part is introduce to the questions of speech signals and the thesis at this point gives a clue what the core is going to be about. In the second part the nature of speech signal is explained, as well as the process of it’s creation by a person and models for speech generation. In the chapter 3 processing of acoustic signals are described, where pre-processing, segmentation and application of Hamming window on the same acoustic speech signal are included. The next chapter reports on pitch speech frequency signal as a physical magnitude and it's derivation from the pitch period. Furthermore describes, fundamental frequency creation in speech organs, scale range for different people, properties that carries and finally possibilities of it’s usage. Chapter 5 deals with essential principles defining pitch speech frequency in time, frequency and cepstral domain. Chapter 6 contains description of principles, used in situations, where the speech signal is devalued by noise. In the next chapter author describes design and implementation of selected principle. Furthermore, author presents results that have been achieved with this specific principle and compares them to the results of ordinary autocorrelation principle. The final chapter summarises the thesis and discusses about possible further part, extension or improvement of the algorithm.
|
|
|
Practical examples of signal processing
Hanzálek, Pavel ; Smékal, Zdeněk (referee) ; Mekyska, Jiří (advisor)
The thesis focuses on the issue of signal processing. Using practical examples, it tries to show the use of individual signal processing operations from a practical point of view. For each of the selected signal processing operations, an application is created in MATLAB, including a graphical interface for easier operation. The division of the thesis is such that each chapter is first analyzed from a theoretical point of view, then it is shown using a practical demonstration of what the operation is used in practice. Individual applications are described here, mainly in terms of how they are handled and their possible results. The results of the practical part are presented in the attachment of the thesis.
|
|
|
Wavelet Filtering of ECG Signals
Mrázek, Jiří ; Vítek, Martin (referee) ; Smital, Lukáš (advisor)
This thesis deals myopotential denoising of ECG signals with using wavelet transform. There was used wavelet denoising subsequently wiener wavelet filtering. In both cases were found the most suitable coeficients for the best denoising. It is meant mainly settings suitable parameters for ideal filtration setting value of threshold, number of decomposition level, selection of thresholding and type of filter. These parameters are tested on real signals. Denoising is realized in Matlab version R2009b.
|
|
|
Processing of images of early spruce needles scanned by MR technology
Raichl, Jaroslav ; Říha, Kamil (referee) ; Gescheidtová, Eva (advisor)
This semester project deals with filtering of the images detected by use of NMR obtained by NMR application measurement of nuclear magnetic resonance (NMR). This thesis includes the theory of nuclear magnetic resonance, digital filters, basic digital filter banks structures, theory of Wavelet transformation and description of Signal to Noise Ratio calculation. Basic procedure of the MR signal denoising is summarized in the theoretical part of the thesis. The denoising of the images detected by nuclear magnetic resonance is described. In experimental part filtering methods for images denoising are described, which are implemented in program Matlab. These methods are based on Wavelet transformation, digital filter banks with proper thresholding. Effectiveness of filtering methods designed was verified on 2D NMR images. All of these 2D images were measure on MR tomography in the Institute of Scientific Instruments Academy of Science of the Czech Republic in Brno.
|
|
|
Practical examples of signal processing
Hanzálek, Pavel ; Smékal, Zdeněk (referee) ; Mekyska, Jiří (advisor)
The thesis focuses on the issue of signal processing. Using practical examples, it tries to show the use of individual signal processing operations from a practical point of view. For each of the selected signal processing operations, an application is created in MATLAB, including a graphical interface for easier operation. The division of the thesis is such that each chapter is first analyzed from a theoretical point of view, then it is shown using a practical demonstration of what the operation is used in practice. Individual applications are described here, mainly in terms of how they are handled and their possible results. The results of the practical part are presented in the attachment of the thesis.
|
|
|
Wavelet Filtering of ECG Signals
Mrázek, Jiří ; Vítek, Martin (referee) ; Smital, Lukáš (advisor)
This thesis deals myopotential denoising of ECG signals with using wavelet transform. There was used wavelet denoising subsequently wiener wavelet filtering. In both cases were found the most suitable coeficients for the best denoising. It is meant mainly settings suitable parameters for ideal filtration setting value of threshold, number of decomposition level, selection of thresholding and type of filter. These parameters are tested on real signals. Denoising is realized in Matlab version R2009b.
|
|
|
Estimation of Fundamental Speech Frequency
Ráček, Tomáš ; Vlach, Jan (referee) ; Vondra, Martin (advisor)
The Bachelor thesis focuses on algorithms with respect to estimation of fundamental speech frequency. First part is introduce to the questions of speech signals and the thesis at this point gives a clue what the core is going to be about. In the second part the nature of speech signal is explained, as well as the process of it’s creation by a person and models for speech generation. In the chapter 3 processing of acoustic signals are described, where pre-processing, segmentation and application of Hamming window on the same acoustic speech signal are included. The next chapter reports on pitch speech frequency signal as a physical magnitude and it's derivation from the pitch period. Furthermore describes, fundamental frequency creation in speech organs, scale range for different people, properties that carries and finally possibilities of it’s usage. Chapter 5 deals with essential principles defining pitch speech frequency in time, frequency and cepstral domain. Chapter 6 contains description of principles, used in situations, where the speech signal is devalued by noise. In the next chapter author describes design and implementation of selected principle. Furthermore, author presents results that have been achieved with this specific principle and compares them to the results of ordinary autocorrelation principle. The final chapter summarises the thesis and discusses about possible further part, extension or improvement of the algorithm.
|
|
|
Processing of images of early spruce needles scanned by MR technology
Raichl, Jaroslav ; Říha, Kamil (referee) ; Gescheidtová, Eva (advisor)
This semester project deals with filtering of the images detected by use of NMR obtained by NMR application measurement of nuclear magnetic resonance (NMR). This thesis includes the theory of nuclear magnetic resonance, digital filters, basic digital filter banks structures, theory of Wavelet transformation and description of Signal to Noise Ratio calculation. Basic procedure of the MR signal denoising is summarized in the theoretical part of the thesis. The denoising of the images detected by nuclear magnetic resonance is described. In experimental part filtering methods for images denoising are described, which are implemented in program Matlab. These methods are based on Wavelet transformation, digital filter banks with proper thresholding. Effectiveness of filtering methods designed was verified on 2D NMR images. All of these 2D images were measure on MR tomography in the Institute of Scientific Instruments Academy of Science of the Czech Republic in Brno.
|
guest ::
