Signal processing procedures

Higher education teachers: Burnik Urban
Študijski program od študijskega leta 2014/15

Subject description

Prerequisits:

• Enrollment in the study year.

Content (Syllabus outline):

Introduction to digital signal processing and its applications: Signals, systems, signal processing methods, basic elements of a digital signal processing system, applications in multimedia and communication systems. Discrete-Time Domain Signals: Sampling and quantisation, representation of signal sequence, discrete-time signals, the convolution sum, properties of convolution, impulse response, relation to the frequency response, algebra-difference equations. Frequency Analysis Of Discrete-Time Signals: Fourier transform, the discrete Fourier transform (DFT), time and frequency resolutions of a DFT, windows influence on signal spectrum, fast computation of the DFT: FFT, Discrete Cosine Transform, pattern analysis, image compression. Z Transform: Z-Transform basics, relation to Laplace and Fourier transforms, region of convergence (ROC), the properties of the z-Transform, system transfer functions, stability analysis, pole and zero in systems transfer function, inversion of the z-Transform, applications and system design. Digital Filters Design: FIR filters and properties. FIR filter design, windowing. IIR filter design, the bilinear transformation, pole-zero placement. Applications: communication systems, audio equalisers, noise reduction, image processing.

Objectives and competences:

To inform students about the basic methods of digital signals and images processing, and the presentation of application areas of presented methods.

Intended learning outcomes:

• Knowledge and understanding:
• Understanding the processes and tools for multimedia signal processing.

Learning and teaching methods:

Oral content presentation with the implementation and demonstration.

Study materials

1. Saeed V. Vaseghi: Multimedia Signal Processing Theory and Applications in Speech, Music and Communications