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Träfflista för sökning "WFRF:(Haimovich A) "

Sökning: WFRF:(Haimovich A)

  • Resultat 1-4 av 4
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1.
  • Molisch, Andreas, et al. (författare)
  • A low-cost time-hopping impulse radio system for high data rate transmission
  • 2005
  • Ingår i: Eurasip Journal on Applied Signal Processing. - 1110-8657. ; :3, s. 397-412
  • Tidskriftsartikel (refereegranskat)abstract
    • We present an efficient, low-cost implementation of time-hopping impulse radio that fulfills the spectral mask mandated by the FCC and is suitable for high-data-rate, short-range communications. Key features are (i) all-baseband implementation that obviates the need for passband components, (ii) symbol-rate (not chip rate) sampling, A/D conversion, and digital signal processing, (iii) fast acquisition due to novel search algorithms, and (iv) spectral shaping that can be adapted to accommodate different spectrum regulations and interference environments. Computer simulations show that this system can provide 110 Mbps at 7–10 m distance, as well as higher data rates at shorter distances under FCC emissions limits. Due to the spreading concept of time-hopping impulse radio, the system can sustain multiple simultaneous users, and can suppress narrowband interference effectively.
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2.
  • Molisch, Andreas, et al. (författare)
  • An efficient low-cost time-hopping impulse radio for high data rate transmission
  • 2003
  • Ingår i: Proceeding of the Sixth International Symposium on Wireless Personal Multimedia Communications.
  • Konferensbidrag (refereegranskat)abstract
    • We present an efficient, low-cost implementation of time-hopping impulse radio that fulfills the spectral mask mandated by the FCC and is suitable for high-data-rate, short-range communications. The system was proposed to the IEEE 802.15.3a group for standardization as high-datarate personal-area network (PAN). Key features are: (i) all-baseband implementation obviates the need for local oscillators and other passband components, (ii) all sampling and digital signal processing is done at 200MHz, (iii) fast acquisition is accomplished by novel search algorithms,(iv) the spectral can be shaped adaptively to accommodate different spectrum regulations and interference environments. We show that this system can provide 110Mbit/s at 7-10m distance, as well as higher data rates at shorter distances. Due to the spreading concept of time-hopping impulse radio, the system can sustain multiple piconets, and can suppress narrowband interference effectively.
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3.
  • Sangha, Veer, et al. (författare)
  • Automated multilabel diagnosis on electrocardiographic images and signals
  • 2022
  • Ingår i: Nature Communications. - : Springer Nature. - 2041-1723. ; 13:1
  • Tidskriftsartikel (refereegranskat)abstract
    • The application of artificial intelligence for automated diagnosis of electrocardiograms can improve care in remote settings but is limited by the reliance on infrequently available signal-based data. Here, the authors report the development of a multi-label automated diagnosis model for electrocardiographic images. The application of artificial intelligence (AI) for automated diagnosis of electrocardiograms (ECGs) can improve care in remote settings but is limited by the reliance on infrequently available signal-based data. We report the development of a multilabel automated diagnosis model for electrocardiographic images, more suitable for broader use. A total of 2,228,236 12-lead ECGs signals from 811 municipalities in Brazil are transformed to ECG images in varying lead conformations to train a convolutional neural network (CNN) identifying 6 physician-defined clinical labels spanning rhythm and conduction disorders, and a hidden label for gender. The image-based model performs well on a distinct test set validated by at least two cardiologists (average AUROC 0.99, AUPRC 0.86), an external validation set of 21,785 ECGs from Germany (average AUROC 0.97, AUPRC 0.73), and printed ECGs, with performance superior to signal-based models, and learning clinically relevant cues based on Grad-CAM. The model allows the application of AI to ECGs across broad settings.
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4.
  • Sheng, H, et al. (författare)
  • Optimum combining for time-hopping impulse radio UWB Rake receivers
  • 2003
  • Ingår i: IEEE Conference on Ultra Wideband Systems and Technologies. - 0780381874 ; , s. 224-228
  • Konferensbidrag (refereegranskat)abstract
    • In this paper, we present results on the application of reduced-rank adaptive filtering techniques to the problem of interference suppression in ultra-wideband (UWB) communications. It is shown that reduced-rank optimum combining (OC) methods, in particular the eigen-canceler (EC), are effective in suppressing interference modeled as 802.11a signals. Simulation results are presented to show that the EC requires a shorter data record than minimum mean square error (MMSE) RAKE receivers.
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  • Resultat 1-4 av 4

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