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Device for audio signal processing by means of signal processor
Lev, Lukáš ; Rumánek,, Jaroslav (referee) ; Brančík, Lubomír (advisor)
Master´s work discusses the issue of processing audio signal by means of signal processor. At present, the signal processor occurs in almost all devices that process or somehow modify sound in digital form. The aim of this master´s thesis is to study the signal processors from different producers, which are now on the market and select one suitable type for device that will process the audio signal. With this signal processor then propose a circuit diagram for a device that will process the audio signal and the PSpice simulation of the circuit and construct this device.
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Analyzer of cardiac waveform
Zmeškal, Ladislav ; Říha, Kamil (referee) ; Číž, Radim (advisor)
The thesis describes design, algorithmization and realization of graphical application for recording EKG and PPG signal using LabJack UE9 tool in Matlab program, it also describes subsequent deposition of recorded signals and their processing, such as optional selection, cropping and filtering. Furthermore there are described types of filters, methods for detecting basic parameters of EKG and PPG signals and methods for detecting R waves and Systolic peaks. Based on detection of those parameters, algorithms for computing average heart rate and finding arrhythmias were designed and tested. Last part of the thesis includes an evaulation which compares values detected by designed algorithms with values from public database which includes reference annotation.
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Sound-aesthetic conceptcs in chamber acoustic jazz
Košulič, Jan ; DVOŘÁK, Aleš (advisor) ; PINKAS, Martin (referee)
The aim of presented work is the sound - aesthetic concept recordings of chamber jazz recordings. The work defines various criteria that can be used to issue of the aesthetic concept of jazz recordings. Several selected significant, settled and success in the music market-proven aesthetic concepts are briefly analyzed. The core of the work is the practical implementation of various aesthetic concepts in recording jazz music. Qualitative research, the results of this work presents were obtained from observations supplemented by discussions in the focus group consisting of jazz musicians. The work provides information about the views of musicians on each part of the process of recording jazz music and practical experience and knowledge based on a series of jazz recording. It also deals with the issue of communication between musicians and sound engineers. A sub- goal which work fulfilled is the opening of the debate over sound - aesthetic issues among jazz musicians and sound engineers.
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Image data processing
Hamada, Adam ; Říha, Kamil (referee) ; Kubásek, Radek (advisor)
The main aim of this bachelor‘s thesis was the design of measure system and position detection method of one-shot plot in two axis system in cooperating with PROTOTYPA company. Also includes principle describe method which scanning fast moving object by high-speed CCD sensors. Further this thesis describing two algorithms for real-time process CCD video signal and in the end are selected components for this algorithms.
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Analysis of selected genomic regions with dominant suppressors of the \kur{adgf-a} mutant phenotype in \kur{Drosophila melanogaster}
KADLECOVÁ, Jana
Adenosine is an important signaling molecule in various physiological processes in many different organisms. Dysregulation of the level of this molecule leads to many pathological consequences as Severe Combined Immunodeficiency in humans. Recently a genetic model using fruit fly Drosophila melanogaster was established to study effects of adenosine in this organism and a genetic screen for genes modifying the effects of heightened adenosine was started. This work presents partial tasks in this screen which include detailed characterization of selected regions which were identified as dominant suppressors of the phenotype associated with heightened adenosine. First task was to produce a smaller, molecularly defined deletion in range of originally identified bigger deletion. Second task included a testing of already existing smaller deletion for the suppressing effects. In the third task, a role of potential suppressor was further analyzed which included a verification of P-element insertions in this gene and their testing for suppressing effects. In the last task, the sequence for making a probe to characterize the expression of this gene was cloned
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Spectrum sensing in the cognitive radio networks - influence of real communication link parameters
Lekomtcev, Demian ; Marchevský,, Stanislav (referee) ; Richterová,, Marie (referee) ; Maršálek, Roman (advisor)
The doctoral thesis deals with spectrum sensing in cognitive radio networks (CRN). A number of international organizations are currently actively engaged in standardization of CRN and it points out to the fact that this technology will be widely used in the near future. One of the key features of this technology is a dynamic access to the spectrum, which can be affected by many different harmful factors occurring in the communication chain. The thesis investigates the influence of selected factors on the spectrum sensing process. Another contribution of the work is the optimization of the Kolmogorov - Smirnov statistical test that can be applied for the primary user signal detection. The work also incorporates the analysis of the influence of the harmful effects caused by the commonly used transmitters and receivers on various spectrum sensing methods. The investigations are verified by the results of the simulations and also by the measurements with experimental platforms based on the software-defined radio (SDR).
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Evaluation of heart arrhythmias
Šromová, Michaela ; Kozumplík, Jiří (referee) ; Provazník, Ivo (advisor)
The thesis is a brief description of the anatomy and electrophysiology of the heart. The thesis also describes the different types of electrocardiogram and cardiac arrhythmias with a description of their treatment. The next section provides design of a programme for the classification of selected types of arrhythmias, and three options for rhythm detection, using the length of RR intervals, finding extremes of P and R waves, measuring the length of intervals and heights of amplitudes. The practical part of this work was to create a rhythm classifier assigning appropriate treatment of arrhythmias, verification of its functions on the signals available from the library of arrhythmias and its evaluation.
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Processing of electrochemical metallothionein signals from Brdicka reaction
Dvořáček, Jiří ; Hynek, David (referee) ; Valla, Martin (advisor)
This thesis deals with the Brdička electrochemical reactions and the possibilities of description and processing of metallothionein. The first part deals only marginally, an introduction to the subject, a separate occurrence of this reaction, the discovery of the properties and functions of metallothionein in the human body, describe the possibilities and applications of cluster analysis on the measured electrochemical signal of metallothionein Brdička reactions and detection of the selected peak. The second part is based on requests made program to evaluate response Brdiča working on the basis of two detection signals from within.
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Degree of Parkinson's disease estimation based on acoustic analysis of speech
Ustohalová, Iveta ; Kiska, Tomáš (referee) ; Galáž, Zoltán (advisor)
The diploma thesis deals with the non-invasive analysis of progression of Parkinson´s disease using the acoustic analysis of speach. Hypokinetic dysarthria in connection with Parkinson´s disease as well as speech parameters are described in this work. Speech parameters are sorted according to the speech component they affect. The work uses the phonation of vowels "a" speech task as the most commonly used speech task in the field of pathological speech processing, because of its resistance to demographic and linguistic characteristics of the speakers. Based on obtained knowledge, in MATLAB development enviroment were created systém for UPDRS III scale estimation. The UPDRS III scale is based on subjective diagnosis given by the doctor. At first, one individual parameter is used for the UPDRS III scale value estimation. Then the feature selection using SFFS algorithm is applied to gain feature combination with minimal estimation errror. Attention i salso paid to correlation between individual symptoms and UPDSR III scale.
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