Introduction Basic signal properties(dc, rms, dBm, and power) Fourier transform and spectra Linear systems and linear distortion Bandlimited signal and sampling Discrete Fourier transform Bandwidth of signal
Chapter Objectives Analog-to-digital signaling(PCM and delta modulation) Binary and multilevel digitals signals Spectra and bandwidths of digital signals Prevention of intersymbol interference Time division multiplexing Packet transmission
Introduction (chapter objectives) Complex envelopes and modulated signals Spectra of bandpass signals Nonlinear distortion · Communication circuits(mixers, phase- locked loops, frequency synthesizers, and detectors) Transmitters and receivers · Software radios
Introduction (chapter objectives) Power spectral density Matched filters Recall former Chapter that random signals are used to convey information. Noise is also described in terms of statistics. Thus, knowledge of random signals and noise is fundamental to an understanding of communication systems