Ludvik Gyergyek

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We studied application of the cepstral analyses to the real-time signal processing. The paper describes the utilization and scope of the signal exponential weighting, diierent approaches to the phase unwrapping, and their computational complexity. A new unwrapping method that reduces the cepstral aliasing by combining the real and the diierential cepstrum(More)
This paper describes an on-line computer supported tactile sensor that can recognize complex industrial objects, identify a seam location, and track a three-dimensional seam trajectory for an arc welding robot. A one finger tactile sensor with two degrees of freedom is used. The supporting microcomputer system organizes and reduces the useful sensor data(More)
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