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Creating 3D Model of Temporomandibular Joint
Šmirg, Ondřej ; Bartušek, Karel (referee) ; Liberda,, Ondřej (referee) ; Smékal, Zdeněk (advisor)
The dissertation thesis deals with 3D reconstruction of the temporomandibular joint from 2D slices of tissue obtained by magnetic resonance. The current practice uses 2D MRI slices in diagnosing. 3D models have many advantages for the diagnosis, which are based on the knowledge of spatial information. Contemporary medicine uses 3D models of tissues, but with the temporomandibular joint tissues there is a problem with segmenting the articular disc. This small tissue, which has a low contrast and very similar statistical characteristics to its neighborhood, is very complicated to segment. For the segmentation of the articular disk new methods were developed based on the knowledge of the anatomy of the joint area of the disk and on the genetic-algorithm-based statistics. A set of 2D slices has different resolutions in the x-, y- and z-axes. An up-sampling algorithm, which seeks to preserve the shape properties of the tissue was developed to unify the resolutions in the axes. In the last phase of creating 3D models standard methods were used, but these methods for smoothing and decimating have different settings (number of polygons in the model, the number of iterations of the algorithm). As the aim of this thesis is to obtain the most precise model possible of the real tissue, it was necessary to establish an objective method by which it would be possible to set the algorithms so as to achieve the best compromise between the distortion and the model credibility achieve.
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Implemetation of signal processing problems for teaching purposes
Ševčík, Zdeněk ; Rajmic, Pavel (referee) ; Mangová, Marie (advisor)
This thesis is focused on Fourier series, phasor diagram, signal resampling and amplitude modulation. All of there problems are analyzed in theoretical part of thesis. Here are derived all three form of Fourier series, described signal sampling, decimation and interpolation. Next thesis is focused on signal modulation and closer deal with amplitude modulation of harmonic and inharmonic signal. In practical part is example of calculation of Fourier siries for a specific signal, example of signal resampling and example of amplitude modulation for harmonic and inharmonic signal. Objective of practical part is creates programs focused on these problems. Programs should be interactive and their purpose is demonstrate the problem to students.
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Assignment of the OFDM signal cyclostationary detector behaviour.
Lehocký, Jiří ; Šimša, Jan (referee) ; Šebesta, Vladimír (advisor)
Master’s thesis belongs to the Cognitive radio network sphere. These networks utilize frequency spectrum more effectively than networks used in present radio communications. The Cognitive radio concept makes coexistence of classic and cognitive radio networks possible. Attention is aimed at spectrum sensing as the key task of the Cognitive radio. Main properties of the cyclostationary detector, as the detector, that reaches high probability of the detection at a very low signal to noise ratio with apriori knowledge of the transmitted signal's cyclic frequency, are examined in this paper. The OFDM signals, that inherit cyclostationarity from cyclic prefix, used in the real systems have been chosen for testing the properties of the detector. The influences of decimation and multipath propagation on the probability of detection are quantitatively expressed. The optimal values for the weights of the multicycle detector are determined.
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Sampling Rate Conversion
Hylmar, Petr ; Vítek, Martin (referee) ; Kozumplík, Jiří (advisor)
This thesis is focused on sampling rate conversion by a rational factor interpolation and decimation and sampling rate coversion by an arbitrary factor interpolation and decimation. There are described methods sampling rate conversion in time domain based on lowpass FIR linear filter and in spectral domain based on zero spectral lines. These methods are created in Matlab programming and tested on particular example. The results of this thesis are sensible parameter lowpass FIR linear filter for sampling rate conversion and discussion success rate used methods.
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Sampling Rate Conversion
Chrobák, Martin ; Provazník, Ivo (referee) ; Kozumplík, Jiří (advisor)
This bachelor’s thesis is engaged in design of procedure for change of sampling rate of EKG signal using 3 methods: with positive integer factor D/I, with any factor (I=8) and with any factor (I=16). Sampling rate conversion should be realized from 500 to 360 Hz and from 360 to 500 Hz in time and frequency part of signal. For this, it is used a professional computing interface of MATLAB, which is perfect for processing of signals. The output from this work should be recommendation which filters (with how long impulse characteristics) are useful for this change of sampling rate.
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Design of digital decimation filter in CMOS technology
Toman, Petr ; Pristach, Marián (referee) ; Fujcik, Lukáš (advisor)
This Master’s thesis deals with digital decimation filter design for undersampling and filtering of sigma-delta ADC signal. Filter cascade is designed in Matlab according to given requirements and is then described in VHDL language aiming for minimum area. Implemented filter functionality is compared to Matlab-generated reference filters in created verification environment. Finally the design is synthesized in specified technology and verified on gate level.
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Evaluation of Organisms Relationship by Genomic Signal Processing
Škutková, Helena ; Tkacz, Ewaryst (referee) ; Schwarz,, Daniel (referee) ; Provazník, Ivo (advisor)
This dissertation deals with alternative techniques for analysis of genetic information of organisms. The theoretical part presents two different approaches for evaluation of relationship between organisms based on mutual similarity of genetic information contained in their DNA sequences. The first approach is currently standardized phylogenetics analysis of character based records of DNA sequences. Although this approach is computationally expensive due to the need of multiple sequence alignment, it allows evaluation of global and local similarity of DNA sequences. The second approach is represented by techniques for classification of DNA sequences in a form of numerical vectors representing characteristic features of their genetic information. These methods known as „alignment free“ allow fast evaluation of global similarity but cannot evaluate local changes. The new method presented in this dissertation combines the advantages of both approaches. It utilizes numerical representation similar to 1D digital signal, i.e. representation that contains specific trend along x-axis. The experimental part of dissertation deals with design of a set of appropriate tools for genomic signal processing to allow evaluation mutual similarity of taxonomically specific trends. On the basis of the mutual similarity of genomic signals, the classification in the form of dendrogram is applied. It corresponds to phylogenetic trees used in standard phylogenetics.
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Processing of 3D Scene Models
Zdráhal, Lukáš ; Chudý, Peter (referee) ; Zemčík, Pavel (advisor)
Purpose of this document is acquite reader with basic principles of 3D model digitalization.This work describes general overview of 3D scanning devices, their physical principle and measurements methods. Next part of this document describes basic method for polygonal mesh processing as smoothing an decimation which are necessary for 3D model processing.This document contains also algorithms description of implementation, user interface and publication part through WWW. Fundamental essence of this diploma thesis will be introduction with general principles of 3D scanning and working with Minolta VIVID-700 3D digitizer which is placed on our faculty. At the end are mentioned results evalution,demostration examples and next supposed project advancement.
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Polygonal Models Decimation
Johannesová, Daniela ; Herout, Adam (referee) ; Kršek, Přemysl (advisor)
When representing objects with polygonal models, we must often use models consisting of large number of polygons. If we want to work in real time with such model the model must be simplificated. The process of simplification is called decimation. We know several decimation techniques for simplification of models. According to characteristics of model and target features of simplified model, we want to choose suitable method. So we need to know characteristics of particular methods and also their limits.
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