Course code 02 36 6249 00
Number of ECTS points 4
Course title in the language of instruction
Signal Processing 1
Course title in Polish Signal Processing 1 (Przetwarzanie sygnałów 1)
Course title in English
Signal Processing 1
Language of instruction English
Form of classes
Lecture Tutorials Laboratory Project Seminar Other Total of teaching hours during semester
Contact hours 30 30 0 60
E-learning No No No No No No
Assessment criteria (weightage) 0.50 0.50 0.00
Unit running the course Instytut Elektroniki
Course coordinator dr hab. inż. Sławomir Hausman
Course instructors dr hab. inż. Sławomir Hausman, dr inż. Łukasz Jopek, dr inż. Piotr Korbel, dr inż. Robert Strąkowski
No prerequisites.
Course learning outcomes
  1. EK1 Student is able to classify signals and systems.
  2. EK2 Student is able to apply fundamental signal transformations in time and frequency domains.
  3. EK3 Student is able to apply fundamental methods of signal analysis in time and frequency domains.
  4. EK4 Student is able to apply fundamental methods of FIR and IIR digital filter design.
Programme learning outcomes
  1. Basic knowledge in the field of mathematics, physics and engineering and technical sciences; detailed knowldege in the field of electronics and telecommunications including selected issues from electrical engineering, automation and technical information technology.
  2. Ability to use one's knowledge from the area of ??electrical circuits, electronic circuits, basics of telecommunications systems, data transmission, signal processing, wired and wireless communication as well as non-technical aspects to design, build, commision and test a telecommunication system.
Programme content Signal classification. Continuous time signals and discrete time signals. System Classification. Methods for describing systems with continuous and discrete time. Spectral analysis. Fourier series. Fourier transform. Discrete time Fourier transform. Discrete Fourier transform. Signal sampling. Analog-to-digital and digital-to-analog conversion. Transform Z, properties, inverse transform and methods of its calculation. Digital Filters.
Assessment methods
EK1 - written test, discussion
EK2 - written test, laboratory report
EK3 - written test, laboratory report
EK4 - written test, laboratory report

Grading policies Lecture - written test (50% of the final grade) Laboratory - laboratory reports, discussion of the results (50 % of the final grade)
Course content LECTURE Signal classification: continuous and discrete time systems; deterministic and random signals; elementary signals; Linear systems and filters: classification of systems - linear vs. nonlinear, time-invariant, causal and anticausal; continuous time systems and their description; discrete time systems and their description; system response to elementary excitation; linear and circular convolution; filtering; connecting systems in parallel and in chain; stability. Spectral analysis: orthogonal signals and orthogonal signal bases; Fourier series; Fourier transform; relation between Fourier series and Fourier transform; properties of Fourier series and transform; Discrete Time Fourier Transform; Discrete Fourier Transform; comparison of various methods of Fourier analysis. Sampling: band-limited signals; sampling theorem; reconstruction from sampled signal; A/D and D/A conversion; quantization noise; signal to noise ratio. Z transform: properties, inverse transform and methods of finding inverse Z transform; Parseval's theorem; relation between the Z transform and Discrete Time Fourier Transform; Fast Fourier Transform. Digital filters: filtering in time domain and in frequency domain; selected structures of digital filters; linear phase filters; FIR filter design with the windowing method; IIR filter design using analog prototypes and bilinear transformation; frequency conversion; comparison of FIR and IIR filters. Continuous time modulation: amplitude modulation: AM, DSB-SC, SSB; analytic signals; Hilbert filter; demodulation of SSB signal with the use of Hilbert filter; phase and frequency modulation; interpolation and decimation. LABORATORY Illustration of selected problems: - signal sampling; - spectral analysis; - design of FIR; - design of IIR filters; - continuous time modulations.
Basic reference materials
  1. Notatki wykładowe (Lecture notes)
  2. Lyons R.: Wprowadzenie do cyfrowego przetwarzania sygnałów, WKiŁ, Warszawa, 2010
  3. Zieliński T.P.: Cyfrowe przetwarzanie sygnałów - Od teorii do zastosowań, WKiŁ, Warszawa, 2009
Other reference materials
  1. Oppenheim A.V., Schafer R.W.: Cyfrowe przetwarzanie sygnałów, WKiŁ, Warszawa, 1979
  2. Owen M., Przetwarzanie sygnałów w praktyce, WKiŁ, 2009
Average student workload outside classroom
Updated on 2019-09-20 15:43:06
Archival course yes/no no