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Rychlé algoritmy Bayesovského rozhodování pro FPGA platformy
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SYSNO ASEP 0566001 Druh ASEP D - Dizertace Zařazení RIV Záznam nebyl označen do RIV Název Rychlé algoritmy Bayesovského rozhodování pro FPGA platformy Překlad názvu Fast Bayesian Algorithms for FPGA Platforms Tvůrce(i) Likhonina, Raissa (UTIA-B) ORCID Vyd. údaje Prague: České vysoké učení technické v Praze, 2022 Poč.str. 182 s. Forma vydání Tištěná - P Jazyk dok. eng - angličtina Země vyd. CZ - Česká republika Klíč. slova RLS algorithms ; FIR filters ; hypothesis testing ; Bayesian approach ; FPGA ; parallel processing ; pipelining ; ultrasound ; hand detection Vědní obor RIV BC - Teorie a systémy řízení Obor OECD Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8) Institucionální podpora UTIA-B - RVO:67985556 Anotace The thesis is devoted to fast Bayesian algorithms, more precisely to the QRD RLS Lattice algorithm combined with hypothesis testing and applied to hand detection problem solution based on ultrasound technology. Due to the proposed structure of regression models and the offered approach to hypothesis testing in the work, the algorithm under consideration is able to solve the problem of noise cancellation and additionally to compute the distance between the hand and the device; thus, potentially enabling to identify simple gestures. Further, the algorithm was implemented in parallel on the HW platform of Xilinx Zynq Ultrascale+ device with a quad-core ARM Cortex A53 processor and FPGA programmable logic and proved to function reliably and accurately in real time using real data from an ultrasound microphone.
The work contains an investigation of the state of the art in the corresponding field and gives the theoretical background necessary for the development and modification of the algorithm to fulfill the goals of the thesis.
The thesis also includes thorough description of experiments and an analysis of the results including those from simulation and from computation using real ultrasound data both in the MATLAB R2019b environment and on the HW platform of Xilinx Zynq Ultrascale+.Pracoviště Ústav teorie informace a automatizace Kontakt Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Rok sběru 2023
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