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- W4239761016 abstract "AbstractIn this chapter we introduce signal constellations as sets S = {x} of vectors in an n-dimensional space. Codes in signal spaces are defined as constellations whose elements are n-tuples of “elementary signals” chosen in a set X. We evaluate the error probability obtained when a code in a signal space is used for transmission over the additive while Gaussian noise channel. Constellalions are then compared on the basis of their bandwidth and power efficiencies. Capacity theorems yield ultimate bounds on the achievable performance. Next, we examine some symmetry properties of signal sets. A class of codes having a special algebraic structure, viz., linear binary codes, is introduced and described in some depth.KeywordsError ProbabilityBinary CodeLinear CodeCode WordSignal SpaceThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
- W4239761016 created "2022-05-12" @default.
- W4239761016 date "2006-07-05" @default.
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- W4239761016 title "Coding in a signal space" @default.
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