Digital signal processing IS-FEE-10026

The aim of the course is to acquaint the students with the basics of the digital signal processing. Student is familiar and can apply methods of signal analysis in time and frequency domains. Student is able to use methods of digital filter design and is familiar with issues of digital filter implementation.
Application area of digital signal processing. Signal classification. Sampling of continuous time signals: the sampling theorem, antialiasing filter, digital resampling, practical aspects of A/D and D/A conversion. Properties and application of the Discrete Fourier Transform; Fast Fourier Transform algorithms; analysis of nonstationary signals. Z-transform: properties and application. Description of discrete time signals and systems: impulse response, difference equation, Z-transform, transfer function, frequency response, state space representation. Stability. Overview of digital filter analysis, synthesis and application: infinite impulse response and finite impulse response filters, commonly used filters, time and frequency domain parameters, windowing, impulse response, linear phase filters, linear and circular convolution. DSP implementation issues.
Requirements:
Students should have basic knowledge in the field of mathematics, electrical physics, circuit theory, digital and analog electronics, fundamentals of computer science. The general requirement is that student has studied engineering for at least 2 years. In some cases prerequisites are defined.