People
Ing. Tomáš Musil, Ph.D.

2020, Proceedings of the SOFSEM 2020 Doctoral Student Research Forum, Aachen, CEUR Workshop Proceedings), p. 25-36), ISSN 1613-0073

Multistream Compression has proven to be competitive in terms of compression ratio. It utilizes a binary tree structure which follows practically the same rules for its construction as the Huffman method. This tree structure is ideal in terms of compression ratio for creation of codewords by Huffman compression. Comparing to the Huffman method the Multistream Compression is based on different idea of how to compress data. This fact raises the question whether the same tree structure provides the best performance. The presented paper investigates possible improvements of the tree structure. A genetic algorithm application was created for this purpose. The design of this application is presented in the paper as well as the obtained results. The whole application is set to the context of the MSC trees.

2019, Transaction on Electrical Engineering, 8 (2), p. 22-25), ISSN 1805-3386

This paper discusses the methods of optimal IIR filter FPGA implementation. The methods are focused on the reduction of occupied resources and increasing data throughput. Higher demands on an internal controller complexity are successfully solved by utilizing programmable microcode controller. The novelty of SOS core and its capabilities are presented and different variants of SOS core are assessed. The workflow of IIR filter design using MATLAB considering rounded coefficient method is demonstrated.

2019, 2019 Konference - 25 let Fakulty dopravní, Praha, České vysoké učení technické v Praze), ISBN 978-80-01-06545-7

Kompresní algoritmus MSC (MultiStream Compression) je nová bezeztrátová kompresní metoda českého vědce Jiřího Kochánka. Jiří Kochánek implementoval svůj algoritmus softwarově v programovacím jazyce C. Na Fakultě dopravní ČVUT byla vytvořena první hardwarová implementace - do hradlového pole (FPGA). Části algoritmu byly transformovány na množinu spolupracujících konečných automatů a zapsány v jazyce VHDL. Navíc bylo nutné navrhnout speciální reprezentaci kódovacího stromu (Left Tree Representation) s ohledem na potřeby algoritmu.

2017

This research report contains the partial results of the Joint Research Center CNR-CTU project which deals with advanced methods for optimization of computer controlled electric drives parameters.

2017

This research report contains the partial results of the Joint Research Center CNR-CTU project which deals with advanced methods for optimization of computer controlled electric drives parameters.

2017

This research report contains the partial results of the Joint Research Center CNR-CTU project which deals with advanced methods for optimization of computer controlled electric drives parameters.

2017

This research report contains the partial results of the Joint Research Center CNR-CTU project which deals with advanced methods for optimization of computer controlled electric drives parameters.

2017

This research report contains the partial results of the Joint Research Center CNR-CTU project which deals with advanced methods for optimization of computer controlled electric drives parameters.

2017, Neural Network World, 27 (6), p. 541-555), ISSN 1210-0552

This paper describes the first attempt of hardware implementation of Multistream Compression (MSC) algorithm. The algorithm is transformed to series of Finite State Machines with Datapath using Register-Transfer methodology. Those state machines are then implemented in VHDL to selected FPGA platform. The algorithm utilizes a special tree data structure, called MSC tree. For storage purpose of the MSC tree a Left Tree Representation is introduced. Due to parallelism, the algorithm uses multiple port access to SDRAM memory.