Search Results - "Wellig, P."

  • Showing 1 - 19 results of 19
Refine Results
  1. 1

    A software package for the decomposition of long-term multichannel EMG signals using wavelet coefficients by Zennaro, D., Wellig, P., Koch, V.M., Moschytz, G.S., Laubli, T.

    “…This paper presents a method to decompose multichannel long-term intramuscular electromyogram (EMG) signals. In contrast to existing decomposition methods…”
    Get full text
    Journal Article
  2. 2

    Testing a multistatic C-band radar with a target simulator by Schneebeli, M., Leuenberger, A., Siegenthaler, U., Wellig, P.

    “…A multistatic active surveillance radar system has been developed under the project name SAMURAI (Swiss African Multistatic Radar Initiative). The system…”
    Get full text
    Conference Proceeding
  3. 3

    High level performance model and performance comparison for multistatic radar system design by Janse van Rensburg, V., Nel, W. A. J., Cilliers, J. E., Boniger, U., Siegenthaler, U., Wellig, P.

    Published in 2015 IEEE Radar Conference (01-10-2015)
    “…In the history of radar there have been three periods, or "resurgences", of increased development activity in the field of bistatic and multistatic radar. The…”
    Get full text
    Conference Proceeding
  4. 4

    Motor Unit Activation Pattern of the Right Trapezius Muscle (Descending Part) during Resting, Typing and Tapping by Läubli, Th, Schnoz, M, Kitahara, T, Wellig, P, Krueger, H

    “…Neck pain is prevalent among computer users and it is postulated that it may be due to continuous firing of single motor units. This study describes the…”
    Get full text
    Journal Article
  5. 5

    The insertion of ISAR targets into pre-existing SAR scenes by Schimpf, H., Essen, H., Wellig, P.

    “…For the training of automatic target recognition algorithms, and of scene understanding in image intelligence, it is important to have the largest possible…”
    Get full text
    Conference Proceeding
  6. 6

    Multi-Channel Radar at 35 GHz for Airborne SAR-Applications by Caris, M., Kloppel, F., Wilcke, J., Brehm, T., Sieger, S., Sommer, R., Stanko, S., Frioud, M., Henke, D., Meier, E., Renker, M., Wellig, P.

    “…In this paper, we present the upgraded MIRANDA-35 SAR system, which has been extended by three additional receiving channels. The adapted antenna configuration…”
    Get full text
    Conference Proceeding
  7. 7

    A method to test reliability and accuracy of the decomposition of multi-channel long-term intramuscular EMG signal recordings by Zennaro, Daniel, Läubli, Thomas, Wellig, Peter, Krebs, Denise, Schnoz, Michael, Klipstein, Andreas, Krueger, Helmut

    “…More and more research groups use intramuscular electromyogram (EMG) recordings and there is a need for evaluating decomposed signals with respect to…”
    Get full text
    Journal Article
  8. 8

    Motor-unit activity in the trapezius muscle during rest, while inputting data, and during fast finger tapping by Kitahara, T, Schnoz, M, Läubli, T, Wellig, P, Krueger, H

    Published in European journal of applied physiology (01-10-2000)
    “…The Cinderella hypothesis postulates the continuous activity of specific motor units during low-level muscle contraction and contradicts the concept of…”
    Get full text
    Journal Article
  9. 9

    EOSAR - A tool for the blending of real objects into SAR scenes by Bokaderov, S, Laubach, M, Schimpf, H, Wellig, P

    Published in 2011 German Microwave Conference (01-03-2011)
    “…Algorithms for automatic target recognition and image intelligence have to be trained on the largest possible data base. A way to avoid excessive and costly…”
    Get full text
    Conference Proceeding
  10. 10
  11. 11

    EOSAR, a SAR-scene simulator based upon real target and background signatures by Bokaderov, S., Maresch, A., Schimpf, H., Essen, H., Wellig, P.

    “…Algorithms for automatic target recognition and image intelligence have to be trained on the largest possible data base. A way to avoid excessive and costly…”
    Get full text
    Conference Proceeding
  12. 12

    Electromyogram decomposition using the single-lineage clustering algorithm and wavelets by Wellig, P., Moschytz, G.S.

    “…The decomposition of intramuscular myoelectric signals (EMG signals) can be considered as a classification problem, where both supervised and unsupervised…”
    Get full text
    Conference Proceeding
  13. 13

    Analysis of wavelet features for myoelectric signal classification by Wellig, P., Moschytz, G.S.

    “…The common feature for classifying Motor Unit Action Potentials (MUAPs) of intramuscular myoelectric (EMG) signals is the Euclidean distance between the MUAP…”
    Get full text
    Conference Proceeding
  14. 14

    Decomposition of EMG signals using time-frequency features by Wellig, P., Moschytz, G.S., Liiubli, T.

    “…The decomposition of intramuscular myoelectric (EMG) signals can be considered as a classification problem. The main effects which decrease the classification…”
    Get full text
    Conference Proceeding
  15. 15

    Clutter analysis of high resolution millimeter-wave SAR-data in the spatial and wavelet domain by Wellig, P., Schmid, K., Essen, H., Kurz, A., Schimpf, H., Brehm, T.

    “…This paper presents the analysis of high resolution millimeter SAR clutter data, measured in a joint Swiss-German flight campaign. The generalized Gaussian…”
    Get full text
    Conference Proceeding
  16. 16

    A decomposition software package for the decomposition of long-term multi-channel electromyrographic signals by Zennaro, D., Wellig, P., Moschytz, G.S., Laubli, T., Krueger, H.

    “…The analysis of intramuscular EMG signals is based on the decomposition of the signals into basic units. Existing decomposition software only supports short…”
    Get full text
    Conference Proceeding
  17. 17

    Classification of time-varying signals using time-frequency atoms by Wellig, P., Moschytz, G.S.

    “…Extracting relevant features from signals is a key element in classification of signals, e.g., for the decomposition of electromyograms (EMG signals). We…”
    Get full text
    Conference Proceeding Journal Article
  18. 18

    Decomposition of electromyogram long-term recordings by Wellig, P., Moschytz, G.S., Laubli, T.

    “…In order to find the mechanisms responsible for the development of chronic neck pain caused by repetitive finger or arm movements, the long-term activation of…”
    Get full text
    Conference Proceeding Journal Article
  19. 19