DIGITAL SIGNAL PROCESSING

Overview

Lecturer

Remus Dobra

Seminar tutor

Remus Dobra

Type of course

Compulsory

Language of instruction

English

Erasmus language

English

Domain

Electronic engineering and telecommunications

Field of study

Applied Electronics

Form of education

Full-time

Form of instruction

Class

Credit awarded by

Grade

Teaching methods

Lecture, conversation, exemplification, exercises.

Entry requirements

• Fundamental knowledge in signals.

Aims

Principles of signal processing

Getting on the types of signals and basic schemes

Getting on Digital Signal Processing

Theory of mathematical transformations applied signals

Getting the signal filtering and aliasing phenomenon.

Course contents

The course covers the following main topics: Lecture 1 - Introduction. Classification of signals. Communication signals used in audio / video / data. Course 2 - Channels of communication. Parameters communications environments. Course 3 - Sampling signals. Dithering signals. The phenomenon of aliasing. Course 4 - Signal processing audio / video. Separation and synchronizing transmission. Course 5 - correlation function, autocorrelation, amplitude-frequency spectra, power spectra. Course 6 - transmission and data processing. Modulation and demodulation parameters. Lecture 7 - modulation amplitude, phase, frequency, pulse. Lecture 8 - demodulating modulated signals. Lecture 9 - signal conversion. ADC. Lecture 10 - signal conversion. Digital-analog converter. Lecture 11 - dedicated digital information processing circuits. Lecture 12 - Types of filters. Passive filters. Lecture 13 - Procedures for filtering signals. Active filters. Lecture 14 - Applications of fuzzy logic and neural networks in signal processing.

Learning outcomes

Application of basic methods for acquisition and signal processing.

Assessment

Projects/Assignments –60%; continuous assessment – 40%.

Overview

Aims

Course contents

Learning outcomes

Assessment

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