Digital Communications 1

Course title: Digital Communications 1

Code: FEIT10Z013

Number of credits (ECTS): 6

Weekly number of classes: 3+1+1+0

Prerequisite for enrollment of the subject: Basics of telecommunications

Course goals/Competences: The student will get fundamental knowledge of the area of digital communications, i.e. the different techniques of transforming analog into digital signals, different types of digital modulations, the optimal receiver and optimal detector of digital signals, detection probability of error, transmission of digital signals through bandlimited systems and the techniques of equalization. The acquired knowledge is the basis for the understanding of modern digital transmission systems, and the basis for other courses with more specific subjects.

Total available number of classes: 180

Curriculum: Sampling theorem. Pulse code modulation. Uniform quantization. Optimal scalar quantization. Nonuniform quantization. Vector quantization. Differential pulse code modulation. Delta modulation. Linear predictive coding and applications to speech coding. JPEG image coding. Representation of digital signals as vectors in signal space: one-dimensional, two-dimensional and multidimensional signals.  Optimum receiver for digitally modulated signals in additive white Gaussian noise. Optimal detection. Probability of error for detection in additive white Gaussian noise: PAM, QAM, PSK, orthogonal signals. Practical aspects of receivers of digital signals. Signal transmission through bandlimited channels. Design of signals for transmission through bandlimited channels. Equalization. Linear equalizers.

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