Digital signal processing

Study programs

Teaching information

Teachers

prof. Ing. Jozef Juhár, PhD. Ing. Juraj Kováč Ing. Antónia Kováčová

Schedule

Learning outcomes

Student obtains theoretical basis from area discrete systems. He gets knowledge about digital filters even methods their synthesis and realization. He takes knowledge from multichannel discrete systems and design of filter banks. Next he acquaints with discrete wavelet transform as well as manners of its implementation and possible applications. Also with linear estimation of random discrete signals including their parameters. Finally he knows problems of effective coding of signals.

Course outline

Describing and characteristics of discrete systems. Classification, kinds and connections of discrete systems. Problems of digital filters synthesis. Conventional and computer methods of synthesis of recursive digital filters. Methods of discrete window functions and frequency sampling of synthesis of non recursive digital filters. Canonic realizations of digital filters, problems of realizations and properties of digital filters. Decimators, interpolators and multichannel discrete systems. Multichannel polyphase and with tree structure discrete systems with perfect reconstruction. Banks of quadrature mirror and cosine modulated digital filters. Discrete wavelet transform and its convolution and lifting implementations. Wiener and Kalman estimations of random discrete signals including their parameters. Effective coding (predictive, transform, hybrid and subband) of signals.

Completion conditions

Assessment and completion of the course: Credit test and examination Continuous assessment: Student passes the continuous assessment and receives credits when he or she meets the requirement to obtain at least 21% out of 40%. Credit test Final assessment: Student passes the final assessment and passes the examination when he or she meets the requirement to obtain at least 31% out of 60%. Examination Overall assessment: Overall assessment is the sum of the assessments obtained by students in the assessment period. The overall result is determined in accordance with the internal regulations of the Technical University in Košice. (Study Regulations, the internal regulation principles of doctoral studies)

Recommended literature

[1] Mihalík,J.-Zavacký,J.: Diskrétne spracovanie signálov. LČSOV FEI TU Košice, 2011, ISBN 978-80-553-0730-5. [2] Mihalík,J.: Číslicové spracovanie signálov. Alfa Bratislava, 1987, ISBN 80-05-00786-8. [3] Mihalík,J.-Gladišová,I.: Číslicové spracovanie signálov (Návody na cvičenia). Alfa Bratislava, 1989, ISBN 80-05-00275-0. [4] Mihalík,J.-Gladišová,I.: Číslicová filtrácia signálov (Návody na cvičenia). LČSOV FEI TU Košice, 2013, ISBN 978-80-553-1390-0. [5] Smékal, Z.:Číslicové zpracování signálů. Skriptum FEKT VUT v Brně, 2012, ISBN: 978-80-214-4639- 7. [6] Nagoor Kani: Digital Signal Processing, 2012, ISBN-13: ‎ 978-0070086654. [7] Mihalík,J. - Gladišová, I.: Diskrétne spracovanie signálov (Návody na cvičenia). LČSOV FEI TU Košice, 2017, ISBN 978-80-553-3113-3.

Notes

To successfully complete the course, it is necessary to obtain a credit and successfully pass the exam. This includes the student's participation in educational activities of direct teaching, lectures, exercises, as well as independent study and independent creative activity of the student in processing the semester assignment / assignments, project on a specified topic, to a specified extent, in a specified design of a total of 180 hours intensity of the student's work per semester.

Grade distribution

Total graded students: 112