Signals and Signal Spaces.

Chapter 1 contains an introduction to signals and signal spaces. It explains the basic tools for classifying signals and describing their properties. Topics covered include normed and metric spaces, inner product spaces, autocorrelation and energy density of deterministic signals, autocorrelation and power spectral density of random signals, and the transmission of random processes through linear systems. [ABSTRACT FROM PUBLISHER]