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  • Není k dispozici (cs)
  • In ultrasonic testing it is very important to recognize fault echoes buried in noisy signal. The fault echo characterizes flaw in material. To differentiate the fault echo from the noise, a suitable filtering method has to be used. This can be accomplished using discrete wavelet transform (DWT), which is used for enhancement signal-to-noise ratio. In this study for comparison of quality of filtering, DWT and wavelet packets (WP) are used. Additional computer simulations of the proposed algorithms are presented.
  • In ultrasonic testing it is very important to recognize fault echoes buried in noisy signal. The fault echo characterizes flaw in material. To differentiate the fault echo from the noise, a suitable filtering method has to be used. This can be accomplished using discrete wavelet transform (DWT), which is used for enhancement signal-to-noise ratio. In this study for comparison of quality of filtering, DWT and wavelet packets (WP) are used. Additional computer simulations of the proposed algorithms are presented. (en)
Title
  • Není k dispozici (cs)
  • Comparison of Methods Based on Discrete Wavelet Transform Used for Filtering of Ultrasonic Signal
  • Comparison of Methods Based on Discrete Wavelet Transform Used for Filtering of Ultrasonic Signal (en)
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  • Není k dispozici (cs)
  • Comparison of Methods Based on Discrete Wavelet Transform Used for Filtering of Ultrasonic Signal
  • Comparison of Methods Based on Discrete Wavelet Transform Used for Filtering of Ultrasonic Signal (en)
skos:notation
  • RIV/68407700:21230/04:03101570!RIV/2005/MSM/212305/N
http://linked.open.../vavai/riv/strany
  • 115 ; 120
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  • Z(MSM 210000015)
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  • 558261
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  • RIV/68407700:21230/04:03101570
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  • Not available (en)
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  • [4306724253C3]
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  • Špindlerův Mlýn
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  • Praha
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  • Defektoskopie 2004
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  • Šmíd, Radislav
  • Kreidl, Marcel
  • Matz, Václav
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  • Česká společnost pro nedestruktivní testování
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  • 80-214-2749-3
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  • 21230
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