Showing 401 - 420 results of 4,328 for search '(((pinn OR ping) OR fine) OR ((((ain OR gain) OR anna) OR (zheng OR lingao)) OR min))', query time: 0.61s Refine Results
  1. 401
  2. 402
  3. 403
  4. 404

    A microstrip grid array antenna for 60-GHz applications by Zhang, Bing, Zhang, Yue Ping

    Published 2013
    “…Measured results show that the impedance bandwidth (BW) of the GAA is 57.5-62 GHz (or 7.5% at 60 GHz), the 3-dB gain BW is 57.5-65 GHz (or 12.5 %) with the maximum gain 16.5 dBi at 60.7 GHz, vertical beams appear in broadside direction from 57 to 64 GHz, which agree well with simulated ones.…”
    Get full text
    Get full text
    Conference Paper
  5. 405

    Enhancing spectrum efficiency through hybrid-duplex systems for aeronautical communications by Tan, Ernest Zheng Hui

    Published 2020
    “…Also, cross correlation is shown to affect the diversity gain of both NOMA and OMA transmissions only at low SNR regimes. …”
    Get full text
    Thesis-Doctor of Philosophy
  6. 406

    Dopamine Nation : Finding Balance in the Age of Indulgence / by Lembke, Anna, Dr., author 655980, Penguin Publishing Group (Online service) 655981

    Published 2021
    “…In Dopamine Nation, Dr. Anna Lembke, psychiatrist and author, explores the exciting new scientific discoveries that explain why the relentless pursuit of pleasure leads to pain . . . and what to do about it. …”
    Get full text
    software, multimedia
  7. 407
  8. 408
  9. 409
  10. 410
  11. 411
  12. 412
  13. 413

    A planar antenna in LTCC for single-package ultrawide-band radio by Chen, Ying, Zhang, Yue Ping

    Published 2009
    “…Results show that the prototype antenna has achieved bandwidth of 110.9%, gain from -1.34 to 5.43 dBi, broad patterns, and relatively constant group delay at frequencies from 3 to 10.6 GHz. …”
    Get full text
    Get full text
    Journal Article
  14. 414

    Free3D: consistent novel view synthesis without 3D representation by Zheng, C, Vedaldi, A

    Published 2024
    “…Similar to Zero-1-to-3, we start from a pre-trained 2D image generator for generalization, and fine-tune it for NVS. Compared to other works that took a similar approach, we obtain significant improvements without resorting to an explicit 3D representation, which is slow and memory-consuming, and without training an additional network for 3D reconstruction. …”
    Conference item
  15. 415
  16. 416
  17. 417
  18. 418
  19. 419
  20. 420