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Compression of ECG signals recorded using mobile ECG device
Had, Filip ; Vítek, Martin (referee) ; Němcová, Andrea (advisor)
Signal compression is necessary part for ECG scanning, because of relatively big amount of data, which must be transmitted primarily wirelessly for analysis. Because of the wireless sending it is necessary to minimize the amount of data as much as possible. To minimize the amount of data, lossless or lossy compression algorithms are used. This work describes an algorithm SPITH and newly created experimental method, based on PNG, and their testing. This master’s thesis there is also a bank of ECG signals with parallel sensed accelerometer data. In the last part, modification of SPIHT algorithm, which uses accelerometer data, is described and realized.
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Lossless Light Field Compression
Navrátil, Robert ; Šolony, Marek (referee) ; Bařina, David (advisor)
This thesis is focused on lossless light-field images compression, where it could be viable to extend common predictors into more dimensions. First chapter is regarding to essential theory about light-field images and 4D light-field, which is followed by description of every predictor and coder. With this is connected description of used compression pipeline. Last chapters contains description of solution and differences between every predictor result and theirs dimensional variant. At the end the results are compared with PNG. The result is that some 4D variants of implemented predictors have better compression rate than PNG.
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Low power module with thermocamera
Horák, Daniel ; Najman, Jan (referee) ; Chalupa, Jan (advisor)
This bachelor thesis is focused on contactless temperature measuring with given thermographic camera and lossless image compression obtained by this camera. The theoretical part describes principles for better understanding of the issue and the practical part contains the solution itself, prepared for above mentioned thermographic camera.
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Analysis of JPEG 2000 Settings
Mitaš, Matěj ; Klíma, Ondřej (referee) ; Bařina, David (advisor)
This thesis analyses settings of JPEG 2000 format. The aim is to find appropriate values for each setting. Main criteria are compression performance, elapsed time and used memory. There are two libraries used that are implementing JPEG 2000 format: Kakadu and OpenJPEG. Testing was secured by framework implemented in Python. Results of this thesis enable users to use JPEG 2000 more effectively and with deeper understanding of inner workings.
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Implementation of Statistical Compression Methods
Beněk, Tomáš ; Polok, Lukáš (referee) ; Bařina, David (advisor)
This thesis deals with the statistical compression methods. This work describes basic theoretical introduction to the data compression and the most important representatives of statistical methods. There is also described compression process based on the Burrows-Wheeler algorithm, which is implemented in the form of portable library in C++ programming language. This work compares effectiveness of each method on suitable data corpus, which contains various data types and according to achieved results discusses suitability of usage of methods and possible improvements.
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Visualization of lossless compression algorithms
Madeja, Jiří ; Číž, Radim (referee) ; Šilhavý, Pavel (advisor)
This thesis focuses mainly on the development of visualization software for some of the most used lossless data compression algorithms. The first part of the thesis is devoted to the theoretical findings from the lossless data compression field. The second part of the thesis deals with the description of practical development of the software using Matlab. The draft is mainly focused on creating such environment to input data which will be encoded using most common lossless data compression algorithms, the comparison based on efficiency of those algorithms and visualization of the algorithm characteristics while in the process of encoding. Last part of the thesis is focused on presenting the final result of the software development.
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Lossless Video Compression
Kafka, Jan ; Polok, Lukáš (referee) ; Bařina, David (advisor)
This thesis is about the lossless video compression using 3D prediction. At first is introduced the necessary theory about image data modification. This part serves to define important terms, which are needed to start the creative work itself. Then several variants of codec's structure proposals follow, as well as the choice of methods and description of expected characteristics. Here we can get the first idea how the codec works. Then there is a description of some implementation's details, which could give a detailed insight into the codec's inner architecture. In the last part of the work, the implemented codec is tested and its characteristics are compared to another lossless codecs. The result is that the own codec, using the 3D prediction, can defeat all other tested codecs with its compression ratio.
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Compression of Device Location Data
Morong, Lukáš ; Mrázek, Vojtěch (referee) ; Vašíček, Zdeněk (advisor)
The goal of this work is to analyze the properties of the data used to locate IoT devices using AoA/AoD based on BLE (Bluetooth low energy) technology. The work aims to identify suitable algorithms for lossless compression, while taking into account the computing and memory resources of the target microcontroller architecture. This involves methods such as VLQ, Rice-Golomb coding or predictive coding. Then implement the selected algorithms in the C language for a platform with an ARM processor and evaluate their parameters in terms of both computational and memory complexity as well as the level of compression.
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Acceleration of Data Compression Algorithms on Sony PS3 Platform
Breitenbacher, Dominik ; Jaroš, Jiří (referee) ; Šimek, Václav (advisor)
This paper presents the use of PlayStation 3 device for accelerating compression algorithms and tries to show the potencial of PlayStation 3 for use on these tasks. For a demonstration was selected compression method based on the Burrows-Wheeler transformation. The output of the transformation is further transformed by using the Move-To-Front transformation and subsequently encoded by the static Huffman encoding. The compression algorithm has been called PS3BWT. It performs compression by using each of tasks and tries to always use the maximum number of avaible processor units, so the compression is carried out as quickly as possible.
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Lossless Light Field Compression
Navrátil, Robert ; Šolony, Marek (referee) ; Bařina, David (advisor)
This thesis is focused on lossless light-field images compression, where it could be viable to extend common predictors into more dimensions. First chapter is regarding to essential theory about light-field images and 4D light-field, which is followed by description of every predictor and coder. With this is connected description of used compression pipeline. Last chapters contains description of solution and differences between every predictor result and theirs dimensional variant. At the end the results are compared with PNG. The result is that some 4D variants of implemented predictors have better compression rate than PNG.
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