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Titlebook: Wireless Personal Communications; Trends and Challenge Theodore S. Rappaport,Brian D. Woerner,Jeffrey H. Book 1994 Springer Science+Busine

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31#
發(fā)表于 2025-3-26 23:44:20 | 只看該作者
Performance of Direct-Sequence Code-Division Multiple-Access Using Trellis-Coded Orthogonal Signalli The motivation for wanting to use orthogonal (or other wideband) signal constellations is a DS-CDMA system where the signal set is already wideband. The results are then also applied to a multi-user (DS-CDMA) channel.
32#
發(fā)表于 2025-3-27 03:06:05 | 只看該作者
33#
發(fā)表于 2025-3-27 06:18:12 | 只看該作者
34#
發(fā)表于 2025-3-27 11:00:47 | 只看該作者
0893-3405 actical value. " from an editorial in the Boston Post -1865 Fortunately for the telecommunications industry, the unknown author of the above statement turned out to be very mistaken indeed. Even as he spoke, Alexander Graham Bell was achieving the impossible, with a host of competing inventors close
35#
發(fā)表于 2025-3-27 16:48:30 | 只看該作者
36#
發(fā)表于 2025-3-27 21:29:01 | 只看該作者
A Narrowband PCS Advanced Messaging Systemons Center. The synergistic effectiveness of these system components was recognized by the FCC, when in its August 1992 Notice of Proposed Rule Making and Tentative Decision, it tentatively concluded that the NWN merits a pioneer’s preference in the 900 MHz narrowband PCS service.
37#
發(fā)表于 2025-3-27 22:11:42 | 只看該作者
Video Compression for Wireless Communicationsrovide efficient compression and provisions for recovery in situations of severely degraded transmission. The hardware goal is to demonstrate low-power decoder modules that implement the decompression algorithms with recovery capability for lost information.
38#
發(fā)表于 2025-3-28 04:31:24 | 只看該作者
39#
發(fā)表于 2025-3-28 06:30:27 | 只看該作者
40#
發(fā)表于 2025-3-28 12:46:00 | 只看該作者
R. L. Kirlin,W. Du,Y. Cui,G. Robertson,Y. Zhang,P. F. Driessen40s, its influence can still be seen in applications today. The theory is based on very elegant mathematics and leads to many beautiful insights into statistical signal processing. Although prediction is only a part of the more general topics of linear estimation, filtering, and smoothing, this book
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