Analog Modulation, Random Signals and Noise, Digital Baseband Pulse Transmission, Digital Bandpass Transmission, Capacity Sharing Technique, Introduction to Channel Coding.
AM Modulation/Demodulation, FM Modulation/Demodulation, Quick Review of Probability, Random Processes, Statistical Characterization of Random Processes, Power Spectral Density, Gaussian Random Processes, Noise and Its Representation, Signal-to-Noise Ratio of analog Modulations, Sampling and Pulse Code Modulation (PCM), Wavefrom representation of binary digits, Matched Filters, Probability of Error due to Noise, Intersymbol Interference (ISI), Equalizations, Signal-space representations of Bandpass signals, Detection of Known Signals in Noise, Correlation and Matched Filter Receivers, Binary and non-binary Modulation Techniques, Probability of Error due to Noise of Digital Bandpass Transmission, Non-coherent Detection, Differential Detection, FDMA, TDMA, CDMA, OFDM, Channel coding fundamentals, Linearity and Hamming distance, Coding gain, Random error detection and correction capabilities, Encoding & Decoding, Probability of decoding and bit error.
Compute a modulated analog signal from an analog message signal (modulation) using AM and FM, Compute an analog message signal from an analog modulated signal (demodulation) using AM and FM, Apply the probability in communication systems, Compute the autocorrelation function of a random process, Determine whether a random process is stationary (if possible) or wide-sense stationary (WSS), Determine the power spectral density (PSD) of WSS random processes, Apply the Gaussian random processes in communication system, Determine the mathematical model of noise, Compute the receiver signal-to-noise ratio (SNR) of analog modulations, Explain the sampling theorem and process of PCM, Compare various waveform types of binary signaling, Design a matched filter to facilitate maximum signal-to-noise power ratio, Compute probability of error performance of binary signaling, Design inter-symbol interference-free pulse shapes under bandwidth constraints, Determine equalizer filter to compensate ISI, Find the orthonormal basis functions of a digital modulation system, Analyze a digital modulation system with noise in signal space, computing union bounds on error probability, Compare different detection techniques, Understand and compare of various capacity sharing techniques, Explain the meaning and significance of Shannon’s channel coding theorem, Explain how Hamming distance between codewords directly affects the performance of error-correction codes, Explain the encoding and decoding process of channel coding, Compute the probability of decoding and bit error.
Proakis and Salehi, Digital Communications, 5th ed., McGraw-Hill Science/Engineering/Math, 2007 (pustaka utama)
Haykin, Communication Systems, 5th ed., Wiley, 2009, (pustaka utama)
Saklar, Digital Communications: Fundamentals and Applications, 2nd ed., Prentice Hall, 2001 (pustaka alternatif)