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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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Rationalization of assembly tools
Straka, Jiří ; Ondra, Josef (referee) ; Osička, Karel (advisor)
This bachelors thesis optimises arrangement of assembly tools in workplaces of the production line by using lean manufacturing methods. The purpose of the thesis was reached by waste analysis and implementation of the 5S method. Rationalization improved ergonomics of workplaces and saved more than 250 hours per year. In summary, it means undoubtedly good improvement in both productivity and costs reduction. Next steps will focus on purchasing of professional cordless automatic screwdrivers.
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Rationalization of assembly tools
Straka, Jiří ; Ondra, Josef (referee) ; Osička, Karel (advisor)
This bachelors thesis optimises arrangement of assembly tools in workplaces of the production line by using lean manufacturing methods. The purpose of the thesis was reached by waste analysis and implementation of the 5S method. Rationalization improved ergonomics of workplaces and saved more than 250 hours per year. In summary, it means undoubtedly good improvement in both productivity and costs reduction. Next steps will focus on purchasing of professional cordless automatic screwdrivers.
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|
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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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