This chapter details relevant signal theory and associated results that are important for subsequent chapters. Material on orthogonality, Dirichlet theory, and the Dirac Delta provide the basis for a discussion of Fourier theory and signal power. This is followed by a discussion of the power spectral density, and autocorrelation, functions. Finally, an introduction to the Cramer representation of a signal, and the Cramer transform, is given.
3.2 SIGNAL ORTHOGONALITY
Orthogonality and signal decomposition underpin a significant level of modern analysis, particularly, in the communications field. The following definitions are fundamental: