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Digital Signal ProcessingLaajuus (5 cr)

Code: R504TL131

Credits

5 op

Teaching language

  • English

Objective

The student understands basic concepts and methods of Digital Signal Processing (DSP). The student understands digital filters. The student will be able to analyze and process digital signals in time- and frequency-domain. Student understands the importance of information security as part of the analysis and synthesis of signals.

Content

- Methods to discretize signals by sampling
- Mathematical analysis of discrete signals
- Principles of digital filtering
- Adaptive filter
- FIR and IIR digital filter design

Assessment criteria, satisfactory (1)

The student understands the basic concepts of Digital Signal Processing (DSP).

Assessment criteria, good (3)

The student is capable to analyze the properties of the signals using Digital Signal Processing (DSP) methods.

Assessment criteria, excellent (5)

The student is capable to analyze signals and processes by using digital filters.

Enrollment

02.10.2023 - 14.01.2024

Timing

15.01.2024 - 30.04.2024

Credits

5 op

Mode of delivery

Contact teaching

Unit

Bachelor of Engineering, Information Technology

Teaching languages
  • English
Seats

0 - 50

Teachers
  • Anssi Ylinampa
Responsible person

Anssi Ylinampa

Student groups
  • R54T21S
    Bachelor of Engineering, Information Technology (full time day studies), autumn 2021

Objective

The student understands basic concepts and methods of Digital Signal Processing (DSP). The student understands digital filters. The student will be able to analyze and process digital signals in time- and frequency-domain. Student understands the importance of information security as part of the analysis and synthesis of signals.

Content

- Methods to discretize signals by sampling
- Mathematical analysis of discrete signals
- Principles of digital filtering
- Adaptive filter
- FIR and IIR digital filter design

Location and time

Rovaniemi , computer laboratory B149

Materials

Barrie W. Jervis : Digital Signal Processing , A practical approach



ISBN : 0-201-54413-X



 



Craig Marven & Gillian Ewers : a simple approach to digital signal processing 



ISBN  0-904047-00-8

Teaching methods

Lectures and demonstrations
Laboratory work
Functional simulation with computer
Independent study

Exam schedules

During course there is one examination
Retake examination must be organised with teacher

International connections

International students are coming to this course

Content scheduling

Lectures
Frequency selective digital filters , low pass filter , high pass filter , bandpass filter
FIR filter structure , ideal phase response
Unit circle in complex z-domain
Poles and zeroes in unit circle
Transfer function of digital filter
Sampling frequency , Nyqvist theory , aliasing error
Laboratory work
Digital signal simulation
Examination

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

The student understands the basic concepts of Digital Signal Processing (DSP).

Assessment criteria, good (3)

The student is capable to analyze the properties of the signals using Digital Signal Processing (DSP) methods.

Assessment criteria, excellent (5)

The student is capable to analyze signals and processes by using digital filters.

Assessment methods and criteria

Laboratory work and report
Simulation
Examination

Assessment criteria, fail (0)

Student has not passed the examination , not enough points

Assessment criteria, satisfactory (1-2)

Student has passed examination with minimum points ,
Student understands basic things of Digital signal processing
Student is able to comprehend how low pass digital filter works

Assessment criteria, good (3-4)

Student shows some understanding of digital signal processing in time domain and in frequency domain.
Student is able to draw pole-zero diagram on complex z-plane of low pass digital filter
Written report of student are done in time

Assessment criteria, excellent (5)

Student understands well theory of digital signal processing , in time domain and in frequency domain .
Student is able to design digital filter
Technical documentation and written reports of student are clear