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Application for Demonstrating Principles of Hybrid Sound Synthesis
Prokop, Šimon ; Indrák, Michal (referee) ; Schimmel, Jiří (advisor)
The master thesis deals with the description and application of the main principles of sound signal generators contained in hybrid synthesizers. The individual methods and ways of generating audio signals were first studied and based on the theory, scripts were then created in Matlab to demonstrate the principle functions of the individual generators. Based on the logic of these scripts, a polyphonic hybrid synthesizer was created in VST3 format in the C++ language with the JUCE framework. The synthesizer allows the user to choose between basic readout methods Wavecycle and Wavetable, audio signal filtering or oversampling of the overall signal process.
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Photovoltaic system in cooperation with a charging station for electric vehicles
Zerzán, Jan ; Morávek, Jan (referee) ; Mastný, Petr (advisor)
The thesis deals with the design of photovoltaic power plant with accumulation and charging station for an electric car for a family house located in the Pardubice region. First, the individual parts of photovoltaic system are theoretically described and then the requiments for connection to distribution system are described. At the end of the theoretical part, the subsidy program is described. The practical part consists of the design of the photovoltaic system and subsequently it’s project documentation. Another topic in the thesis is the simulation and control of the energy flows of the designed PV plant with batteries and EV charger in Matlab. Towards the end of the thesis an economic balance sheet is created.
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Experimental Audio Effect Based on Dynamic Signal Filtering
Leitgeb, David ; Miklánek, Štěpán (referee) ; Schimmel, Jiří (advisor)
The aim of this thesis is the implementation of an experimental audio effect based on dynamic signal filtering. Two implementations of the audio effect were made, the first one using the Matlab environment and its Audio Toolbox extension, and the second one in the C++ programming language using the JUCE framework. The main digital signal processing types present in the proposed audio effect include: frequency filtering, signal delay and modulation of parameters using low-frequency oscillators. The initial prototype of the audio effect mainly serves to verify correct functionality of the proposed algorithms. The result of the second implementation is a fully functional plug-in module usable, for example, for music production. Both versions are available in the VST format, which can be used with numerous digital audio workstations. The thesis is divided into three main parts: theoretical introduction, implementation of the audio effect, and demonstration of its functionality. Theoretical introduction describes several areas of digital signal processing which are crucial for the correct implementation of the individual components of the audio effect. Implementation of the proposed audio effect is described in the following part of this thesis. Description of the implementation in Matlab is mostly done by showcasing parts of the source code. The C++ version of the audio effect is for the most part described verbally. The last part of this thesis focuses on the demonstration of both versions of the proposed effect. This part features several graphical examples demonstrating various use cases of the proposed effect. Audio files corresponding to these examples are included in the appendix.
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AI-based classification of RF signals
Turák, Samuel ; Ulovec, Karel (referee) ; Polák, Ladislav (advisor)
Táto práca sa zameriava na klasifikáciu rádiofrekvenčných (RF) signálov založenú na hlbokom učení. Pre tento účeľ, tri neuronové siete sú vybrané a prezentované: Konvolučná Neurónová Sieť (CNN), Sieť s Bránovými Rekurentnými Jednotkami (GRU), Konvolučná Hlboká Neurónová Sieť s Bránami (CGDNN). Všetky sú trénované a vyhodnotené na viacerých datasetoch, ovplyvnené rôznymi RF rušeniami, pre klasifikáciu rôznych bezdrátových štandardov. Signály v jednotlivých datasetoch boli vytvorené pomocou aplikácie Wireless Waveform Generator v programu MATLAB. Jeden verejne dostupný dataset na klasifikáciu modulácie je takisto testovaný na modeloch. Použité prístupy k predspracovaniu dát, tréningu modelov a vyhodnoteniu modelov sú implementované v programovacom prostredí Python s využitím knižníc ako Scikit-learn a Keras. \mbox{Získané výsledky} sú prehľadne prezentované a diskutované.
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Route control
Dolobáč, Dávid ; Janáková, Ilona (referee) ; Richter, Miloslav (advisor)
This thesis sets itself the task to detect geometric changes, located on a previously known route, which is considered as a template or pattern. Geometric changes represent rigid transformations of objects in a scene, specifically their rotation, displacement and their combinations. Another type of change is the addition of new or removal of original objects. The original route is captured with a monocular camera and by using methods of photogrammetry, a 3D model of a scene in a point representation is reconstructed from the video sequence. In the same manner, a 3D model of the scene containing changes is created, but this model captures only the local section of the original route. This local point cloud is registered in the 3D model of the original route, so that the 3D models can be directly compared with each other. The investigated space is divided into cubic voxels of the same size which are successively traversed and the degree of similarity of local surfaces is investigated for each of them. The solution results in 3D points from both clouds marked as changed or unchanged. The mentioned methods are tested on real data in scenarios with different geometric modifications of the scene and the evaluation of change detection is implemented as in the case of a binary classifier.
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Easter eggs scanning module
Pitrun, Tomáš ; Janáková, Ilona (referee) ; Honec, Peter (advisor)
This master thesis deals with the design and implementation of a preparation for scanning the museum's collection of Easter eggs. A monochrome line scan camera combined with RGB lighting and stepper motor is used to capture the Easter eggs. The control of the whole fixture is solved by using an Arduino Mega microcontroller in combination with the developed PCB. The data from the camera are processed in software on a PC using Matlab. Finally, a 3D model of the easter egg with the scanned texture is created using the Processing library.
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Platform for Digital Predistortion Based on RFSoC
Kříčka, Tomáš ; Maňas, Ondřej (referee) ; Král, Jan (advisor)
Signal predistortion occurs in modern communication systems and in other systems requiring linear signal amplification. The objective is to learn about signal predistortion, the QORVO 1800 MHz FDD radio front-end and to implement the front-end control using Matlab computer program. I focus on controlling individual attenuators and amplifiers on the QORVO front-end with a program written in C. Using a single board computer Raspberry Pi 4B running Linux. Furthermore, the work involves the application of a SCPI server that operates based on TCP packets. As part of the introduction to the front-end, the power characteristic of the power amplifier is measured.
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Induction motor control using software tool X2C
Bartash, Roman ; Huták, Petr (referee) ; Pazdera, Ivo (advisor)
This paper deals with two induction motor control algorithms, namely direct torque control and vector control. The paper describes the different types of controllers and their settings, with output characteristics. Thus it is possible to get an understanding of the performance of these systems and compare them. Modelling is also carried out using X2C library, which gives an opportunity to further test the systems on a real motor.
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Spatial audio processing of a spherical microphone array
Tomešek, Jiří ; Honzík,, Petr (referee) ; Liska, Matej (advisor)
The diploma thesis focuses on the processing of spatial sound from a spherical microphone array, their properties, and the principles of capturing. It further explains the principles of operation of MEMS microphones and subsequent implementation. The interface between the microphone array and the computer is created using a programmable gate array along with a USB converter. The thesis outlines a suitable method for software implementation for communication, control, and interconnection of specific hardware. The implementation of individual functionalities was carried out and explained using the VHDL programming language in an FPGA. Data reception from the microphones via a TDM interface, control logic, and communication between the FPGA and the computer through an FTDI interface were implemented. Within the thesis, an application was also created in the Matlab environment for controlling the FPGA and processing data from the microphones, including a graphical user interface. The application implements the ambisonics method and a method for processing the audio signal using spatial filtering.
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Use of fuzzy logic for banking risk assessment
Maňková, Veronika ; Bobalová, Martina (referee) ; Janková, Zuzana (advisor)
The thesis focuses on the use of fuzzy logic in the banking sector for credit risk assessment. Artificial intelligence, especially the fuzzy logic method, is used to construct a model for evaluating whether a client poses a threat to the bank or not based on their creditworthiness. The determination of a client's creditworthiness involves the evaluation of both financial and non-financial indicators. The paper further describes the use of the MATLAB tool for the development and implementation of this model. The resulting model allows banks to better understand credit risk and enables them to make more informed lending decisions.
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