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The effect of sampling period error on frequency analysis
Pietrowicz, Daniel ; Marada, Tomáš (referee) ; Zuth, Daniel (advisor)
This thesis will be focused on signal measurement in connection with digitization and analysis inaccuracy of sampling peroid effect. Brief narration of frequency analysis and description of Matlab and his capabilities with this issue. Then creation procedure for simulation model of analog signal and his fault digitization via sampling period. Systematic comparation of this effect on inaccuracy of sampling period on frequency analysis.
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ECG Signal Compression Based on Wavelet Transform
Ondra, Josef ; Hrubeš, Jan (referee) ; Kozumplík, Jiří (advisor)
Signal compression is daily-used tool for memory capacities reduction and for fast data communication. Methods based on wavelet transform seem to be very effective nowadays. Signal decomposition with a suitable bank filters following with coefficients quantization represents one of the available technique. After packing quantized coefficients into one sequence, run length coding together with Huffman coding are implemented. This thesis focuses on compression effectiveness for the different wavelet transform and quantization settings.
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The USB Oscilloscope and Logic Analyzer with a Microprocessor
Pešl, Jiří ; Magát, Martin (referee) ; Šteffan, Pavel (advisor)
The content of this bachelor thesis is design of electronic measurement and diagnostic device to a computer or any other portable device as are modern mobile phones and PDAs. Designed system will be measure analog periodical signals in time in currently used ranges and discrete logic signals. Signals will be restored and displayed on the screen of any other device. Wherewith designed device will be communicate through USB 2.0 or Bluetooth interface.
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Image Compression Using the Wavelet Transform
Kontra, Matúš ; Drábek, Vladimír (referee) ; Bařina, David (advisor)
Wavelet transform belongs to modern methods used to compress data. It's application modifies data in such way, that we can use and store them in much more efficient way. Focus of this thesis lies in theoretical basis required to understand this method and its implementation. Next section shifts focus to quantization and coding - operations used to further reduce size of our data, which are provided by the SPIHT algorithm.
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Neural Network Implementation without Multiplication
Slouka, Lukáš ; Baskar, Murali Karthick (referee) ; Szőke, Igor (advisor)
The subject of this thesis is neural network acceleration with the goal of reducing the number of floating point multiplications. The theoretical part of the thesis surveys current trends and methods used in the field of neural network acceleration. However, the focus is on the binarization techniques which allow replacing multiplications with logical operators. The theoretical base is put into practice in two ways. First is the GPU implementation of crucial binary operators in the Tensorflow framework with a performance benchmark. Second is an application of these operators in simple image classifier. Results are certainly encouraging. Implemented operators achieve speed-up by a factor of 2.5 when compared to highly optimized cuBLAS operators. The last chapter compares accuracies achieved by binarized models and their full-precision counterparts on various architectures.
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Audio Signal Declipping and Dequantization Using Sparsity-Based Methods
Záviška, Pavel ; Šroubek,, Filip (referee) ; Koldovský,, Zbyněk (referee) ; Rajmic, Pavel (advisor)
Audio signály jsou náchylné k různým typům poškození, přičemž jedním z nejčastějších a nejproblematičtějších druhů poškození je clipping. Tato dizertační práce se zaměřuje na rekonstrukci zvukových signálů poškozených nelineárním zkreslením s hlavním zaměřením na declipping a dekvantizaci a popisuje vědecký přínos v této oblasti s využitím metod založených na řídké reprezentaci. První část dizertační práce se zabývá problematikou declippingu a představuje několik přístupů založených na řídkých reprezentacích signálů. Součástí je jak originální výzkum, tak i převzaté algoritmy, které však byly v rámci této práce reimplementovány nebo modifikovány. Kvalita výstupů rekonstrukčních algoritmů je vyhodnocena jak pomocí ukazatele SDR, tak i s využitím percepčně založených metrik. V další části se práce zaměřuje na zakomponování psychoakustiky do problému declippingu pomocí váhování transformačních koeficientů s třemi navrženými způsoby konstrukce vah. Je zde dokázáno, že při správně zvolených vahách je možné výrazně zlepšit kvalitu rekonstrukce a vyrovnat se tak nejlepším algoritmům při zachování nízké výpočetní náročnosti. V poslední části práce je pozornost je také věnována metodám umožňujícím odchylku ve spolehlivé části signálu. V tomto směru práce zkoumá percepční vliv prostého nahrazení těchto spolehlivých vzorků, identifikuje jeho hlavní nevýhody a následně představuje metody, které kompenzují negativní efekty způsobené tímto nahrazením. Je ukázáno, že s využitím těchto technik je možné bez významného navýšení výpočetní náročnosti výrazně zlepšit dosaženou kvalitu rekonstrukce. Vybrané algoritmy jsou rovněž aplikovány na problém audio dekvantizace. Součástí práce jsou repozitáře obsahující implementace všech představených metod.
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Image Compression Using the Wavelet Transform
Urbánek, Pavel ; Polok, Lukáš (referee) ; Bařina, David (advisor)
This thesis is focused on subject of image compression using wavelet transform. The first part of this document provides reader with information about image compression, presents well known contemporary algorithms and looks into details of wavelet compression and following encoding schemes. Both JPEG and JPEG 2000 standards are introduced. Second part of this document analyzes and describes implementation of image compression tool including inovations and optimalizations. The third part is dedicated to comparison and evaluation of achievements.
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Artificial intelligence on nVIDIA Jetson platform
Batelka, Lukáš ; Kozovský, Matúš (referee) ; Blaha, Petr (advisor)
The aim of this bachelor thesis is to design, train and implement an artificial neural network in an NVIDIA Jetson Nano embedded device. The first part of the thesis describes the current state of the art of implementing artificial intelligence in embedded devices. The following section describes the tools for developing artificial neural networks and the possibilities of implementing them in a Jetson Nano device. These tools are further used in the thesis to create and train an artificial neural network to detect a fault in preprocessed measurement data on a synchronous electric motor. Finally, the optimization of the trained neural network is described. The achieved results are summarized in the conclusion of the paper.
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Acceleration of Data Compression Algorithms Using GPU
Cacek, Pavel ; Drábek, Vladimír (referee) ; Šimek, Václav (advisor)
This bachelor's thesis is dealing with possibility of acceleration compression algorithm on graphical card. I have studied specifically the compression algorithm JPEG, which is used for compression image data. The text first introduced technology, which give access to us use computational power of graphics cards. The work is also focused on the theoretical description of the JPEG and subsequently is describe its implementation using OpenCL and NVIDIA CUDA. Finally, there is a comparison of performance this GPGPU technologies.
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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.
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