Results 171 to 180 of about 161,015 (210)
Channel Capacity and Channel Coding [PDF]
, 2013 Chapter 5 continues the discussion of Shannon’s information theory as regards channel capacity and channel coding. Simple channel models are introduced and their capacity is computed. It is shown that channel coding needs redundancy and the fundamental theorem of channel coding is stated.
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1990
We have considered a random process or source {X n } as a sequence of random entities, where the object produced at each time could be quite general, e.g., a random variable, vector, or waveform. Hence sequences of pairs of random objects such as {X n ,Y n } are included in the general framework.
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We have considered a random process or source {X n } as a sequence of random entities, where the object produced at each time could be quite general, e.g., a random variable, vector, or waveform. Hence sequences of pairs of random objects such as {X n ,Y n } are included in the general framework.
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Coding for the Wireless Channel
2005We consider the design and the performance of coding schemes for a channel affected by fading and additive noise. Optimum coding schemes for this channel lead to the development of new criteria for code design, differing markedly from the Euclidean-distance criterion which is commonplace over the additive white Gaussian noise (AWGN) channel.
BIGLIERI E, TARICCO, GIORGIO, CAIRE G.
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1990
Reliable communication over a noisy channel is the focus of this chapter. The chapter begins with a development of the classic fundamental results of Feinstein regarding reliable communication of block codes and the relation of operational channel capacity to Shannon capacity for discrete channels. A technique of Dobrushin is used to extend Feinstein’s
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Reliable communication over a noisy channel is the focus of this chapter. The chapter begins with a development of the classic fundamental results of Feinstein regarding reliable communication of block codes and the relation of operational channel capacity to Shannon capacity for discrete channels. A technique of Dobrushin is used to extend Feinstein’s
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Coding for channels with cost constraints
IEEE Transactions on Information Theory, 1996Summary: We address the problem of finite-state code construction for the costly channel. This channel model is a generalization of the hard-constrained channel, also known as a subshift. \textit{R. Adler}, \textit{D. Coppersmith} and \textit{M. Hassner} [ibid. 29, 5-22 (1983; Zbl 0499.94009)] developed the powerful state-splitting algorithm for use in
David L. Neuhoff, A.S. Khayrallah
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Channel Coding and Link Adaptation
2020Coding, in the binary communications world, is the process of adding a bit or bits to useful data bits in such a fashion as to facilitate the detection or correction or errors incurred by such useful bits as a result of their transmission over a non-ideal channel.
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1998 URSI International Symposium on Signals, Systems, and Electronics. Conference Proceedings (Cat. No.98EX167), 2002
We discuss the coding design criteria for some classical fading channel models. If the channel is not stationary, as it happens for example in a mobile-radio communication system where it may fluctuate in time between the extremes of Rayleigh and AWGN, then a code designed to be optimum for a fixed channel model might perform poorly when the channel ...
Ezio Biglieri, G. Caire, G. Taricco
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We discuss the coding design criteria for some classical fading channel models. If the channel is not stationary, as it happens for example in a mobile-radio communication system where it may fluctuate in time between the extremes of Rayleigh and AWGN, then a code designed to be optimum for a fixed channel model might perform poorly when the channel ...
Ezio Biglieri, G. Caire, G. Taricco
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2011
This chapter reviews fundamental results of coding and modulation theory that are essential to a full understanding of spread-spectrum systems. Channel codes, which are also called error-correction or error-control codes, are vital in fully exploiting the potential capabilities of spread-spectrum communication systems.
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This chapter reviews fundamental results of coding and modulation theory that are essential to a full understanding of spread-spectrum systems. Channel codes, which are also called error-correction or error-control codes, are vital in fully exploiting the potential capabilities of spread-spectrum communication systems.
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Introduction to Channel Coding
2016Channel coding, also known as forward error control coding (FECC), is a process of detecting and correcting bit errors in digital communication systems. Channel coding is performed both at the transmitter and at the receiver. At the transmit side, channel coding is referred to as encoder, where extra bits (parity bits) are added with the raw data ...
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channel coding and capacity [PDF]
, 2010 In the previous chapters we have examined several methods to transmit digital signals through a channel without wondering how much information can be effectively carried by the channel, and how it can be robustly encoded into the signal for reliable transmission. In this chapter, based upon the fundamentals of Information Theory introduced in Chapter 3,
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