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Komprese signálů EKG s využitím vlnkové transformace / ECG Signal Compression Based on Wavelet Transform

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.

Identiferoai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:217209
Date January 2008
CreatorsOndra, Josef
ContributorsHrubeš, Jan, Kozumplík, Jiří
PublisherVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií
Source SetsCzech ETDs
LanguageCzech
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/masterThesis
Rightsinfo:eu-repo/semantics/restrictedAccess

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