Titlebook: Digital Communication; John R. Barry,Edward A. Lee,David G. Messerschmitt Textbook 2004Latest edition Kluwer Academic Publishers 2004 Ethe

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書目名稱Digital Communication影響因子(影響力)




書目名稱Digital Communication影響因子(影響力)學(xué)科排名




書目名稱Digital Communication網(wǎng)絡(luò)公開度




書目名稱Digital Communication網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Digital Communication被引頻次




書目名稱Digital Communication被引頻次學(xué)科排名




書目名稱Digital Communication年度引用




書目名稱Digital Communication年度引用學(xué)科排名




書目名稱Digital Communication讀者反饋




書目名稱Digital Communication讀者反饋學(xué)科排名

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w chapters, one on the theory of MIMO channels, and the other on diversity techniques for mitigating fading. The field of error-control coding has similarly undergone tremendous changes i978-1-4613-4975-4978-1-4615-0227-2

Jejune

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Advanced Modulation,sent the correlation and projection receivers as practical means for implementing the minimum-distance receiver, and we present a union-bound approximation for the resulting probability of error in the presence of AWGN

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Error Control, so that only a strict subset of all possible symbol sequences can be transmitted. There is thus redundancy in the coded sequence, which can be exploited at the receiver to improve the robustness to noise

勉強(qiáng)

Economic Growth, Poverty and Hunger,ization of amplitude distortion also enhances or amplifies any noise introduced by the channel, called .. There is therefore a tradeoff between accurately minimizing intersymbol interference and minimizing the noise at the slicer input. Ultimately, of course, our goal is to minimize the probability of error

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https://doi.org/10.1007/978-3-319-62488-4entical, at least in the sense of long term averages. In other words, systems must be . Underlying most synchronization techniques is the phase-locked loop (PLL). In this chapter we derive the basic principles of PLLs. Two practical applications, carrier and timing recovery, are treated in-depth in Chapters 15 and 16

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https://doi.org/10.1007/978-3-319-25724-2 Gaussian noise, including those for which minimizing distance is not optimal. The probabilistic tools developed in this chapter play an important role in iterative decoding of error-control codes (Chapter 12)