We study communications with a focus on modern digital communications theory and systems. Our approach concentrates on the underlying methods as well as on up-to-date examples of real world systems. Emphasis is on modern digital data transmission concepts and optimization of receivers.
Elements of Communication Systems: fundamental configuration, typical transmitter and receiver structures for analog and digital transmission, fundamentals of multiple access systems TDMA, FDMA, CDMA
Transmission Channels: equivalent baseband representation, complex envelope, Hilbert-transform and analytical signal, quadrature mixing, equivalent baseband systems, baseband channel, equivalent baseband representation of bandpass noise, ideal channel-models, AWGN-channel, linear and nonlinear distortions, practical transmission channels, satellite channel, optical channel, mobile-radio channel
Source Signals: analog and digital source signals, sampling and quantization of analog signals
Digital Baseband Transmission: ISI and first Nyquist-criterion, eye-diagram and second Nyquist-criterion, bandwidth and spectrum of data signals, matched filter, bit-error-probability, line-codes, partial response coding, partial response precoding, fundamentals of linear equalizers, decision feedback equalizers, adaptive equalization, minimum mean square algorithm, LMS-algorithm, clock-synchronization, PLL fundamentals, correlative clock-recovery, bit-error probability with sampling jitter
Digital Bandpass Transmission: linear and nonlinear modulation formats, signal-constellations for QAM and PSK, Nyquist-pulses, offset QPSK (O-QPSK), differential PSK-modulation (DPSK, DQPSK), digital frequency modulation (FSK), minimum shift keying (MSK), Gaussian minimum shift keying (GMSK), continuous phase modulation (CPM), spectral properties
Optimum Receivers: MAP and ML criterion, correlation receiver, matched-filter receiver, bit-error ratio with QPSK/QAM, maximum likelihood sequence estimation, metric, Viterbi-detector