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Signal Space Coding over Rings

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Chapter 1: Introduction 4<br />

can be used as an N-dimensional orthogonal signal space. In this case the signal set is<br />

composed of power signals, that is, signals of infinite energy. The set of wavelet<br />

functions is also an N-dimensional signal space. It will be used in this work as a<br />

signal set for ring-signal space codes. Advantages and disadvantages of this signal set<br />

will be pointed out in Chapter 5. If a signal space is an N-dimensional hypercube<br />

signal space composed of energy signals, such that it is constructed as a hypercube of<br />

energy signals of dimension N , as is presented by Shannon in his paper [2], a<br />

reduction of the gap to the Shannon limit is only obtained by increasing the<br />

dimensionality of the signal space in comparison with the dimension of the message<br />

space. This means that only some of all the points of the signal space are selected as<br />

signals to be transmitted. The hypercube of dimension N can be constructed also by<br />

using a wavelet set of functions. A novel technique is introduced in Chapter 5, for the<br />

design of signal sets based on a set of wavelet functions. The wavelet based signal set<br />

used in this Chapter is then combined with MQAM modulation, in a concatenated<br />

scheme. As a result of conclusions obtained from the use of a wavelet based<br />

orthonormal basis for synthesising signals of a signal set in ring-Trellis-Coded<br />

Modulation (ring-TCM) schemes, a new signal set is proposed for ring-Block Coded<br />

Modulation (ring-BCM) schemes in Chapter 6.<br />

The aim of this research is to provide an improvement in performance of signal space<br />

codes <strong>over</strong> rings, selecting as a parameter to be optimised the squared Euclidean free<br />

distance, or equivalently, the Asymptotic <strong>Coding</strong> Gain. The thesis is divided in two<br />

main parts. Chapters 2 and 3 deal with the background knowledge of combined<br />

coding and modulation techniques, and signal space coding. A definition of a<br />

multilevel signal space code is provided. Chapters 4, 5 and 6 are devoted to look for<br />

an improvement in performance <strong>over</strong> signal space coding schemes <strong>over</strong> rings by<br />

proposing modifications of the coding machine, and of the signal space used, though<br />

Chapters 4 and 6 also contain some relevant background about coding <strong>over</strong> rings,<br />

presented in some introductory sections.<br />

This thesis is organised as follows:<br />

Chapter 2 deals with combined coding and modulation techniques, and mainly with<br />

Trellis-Coded Modulation and its parameters and performance analysis. An<br />

introduction to bounds in communications is presented in this Chapter.

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