This course analyzes modern digital and analog communications systems. The study of digital communications systems includes waveform sampling, time multiplexing, digital modulation, and detection techniques. Amplitude, phase, and frequency modulation, as well as frequency division multiplexing, are the major analog communications topics discussed. Time and frequency domain analysis are the basis for study of bandwidth considerations, filtering, and channel and communication system modeling. The course employs basic concepts in information theory to characterize the data content of communication signals and fourier analysis to characterize their waveform representations. The course concludes with an analysis of system performance limitation due to noise. This analysis addresses the statistical properties of noise in linear systems, signal-to-noise ratios, and probability of error. A communications system project brings these concepts to reality. (Note: Evolved into IT105 eff 2003-1)
