Subject » BMEVIHIM009
Signal Processing Fundamentals
A jelfeldolgozás alapjai
A tantárgyleírás hatályossága
Hatályosság kezdete:
2026. March 21.
Hatályosság vége:
—
| Subject name (Hungarian, English) |
A jelfeldolgozás alapjai
Signal Processing Fundamentals
|
||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Subject code | BMEVIHIM009 | ||||||||||||
| Subject type | — | ||||||||||||
| Training Level | — | ||||||||||||
| Course types and hours (weekly/semester) |
|
||||||||||||
| Assessment type | félévközi érdemjegy | ||||||||||||
| Credits | 4 | ||||||||||||
| Subject coordinator |
DR. Levendovszky János
position: egyetemi tanár
contact:
levendovszky.janos@vik.bme.hu
|
||||||||||||
| Responsible department |
Hálózati Rendszerek és Szolgáltatások Tanszék
|
||||||||||||
| Faculty | Villamosmérnöki és Informatikai Kar | ||||||||||||
| Subject website | — | ||||||||||||
| Primary curriculum type | — | ||||||||||||
| Direct prerequisites – Strong prerequisite | none | ||||||||||||
| Direct prerequisites – Weak prerequisite | none | ||||||||||||
| Direct prerequisites – Parallel prerequisite | none | ||||||||||||
| Direct prerequisites – Milestone prerequisite | none | ||||||||||||
| Direct prerequisites – Exclusion | none |
Objectives
Programme
- Representation of analog signals in time/frequency/s domains.
- A/D conversion (sampling and quantization)
- Nonlinear quantization, Lloyd-Max algorithm,
- Digital signals
- Description of Linear Time Invariant Systems in time doian
- DFT
- FFT alagorthms
- Z transform
- Description of Linear Time Invariant Systems in z domain
- Digital filtering
- Foundations of adaptive signal processing (LMS algorithm, Robbins-Monroe stochastic approximation, model degree selection)
- Application to adaptive system identification
- Application to adaptive equalization
- Application to time series prediction
The course is concerned with the foundations of signal processing with
special emphasis of the representations of signals in different domains. The
adaptive part helps the students solve adaptive identification and equalization
tasks. After successfully completing the course the students are capable of
solving various signal processing tasks arising in different applications.
Learning outcomes
Ez a tantárgy a KKK rendeletben meghatározott, következő kompetenciák fejlesztését szolgálja:
Knowledge
No learning outcomes recorded.
Skills
No learning outcomes recorded.
Attitudes
No learning outcomes recorded.
Autonomy and responsibility
No learning outcomes recorded.
Oktatási módszertan
Lectures
Tanulástámogató anyagok
Online források
J.G. Proakis, D.G. Manolakis: „Digital; Signal Processing", Prentice Hall, 1996, ISBN; 0-13394338-9; S. Haykin „Adaptive; filters" ,Prentice Hall, 1996
Recommended preliminary knowledge for completing the subject
Knowledge type competencies
(azon előzetes ismeretek összessége, amelyek megléte nem kötelező, de a tantárgy eredményes teljesítését nagyban elősegíti)
Calculus
Skill type competencies
(azon előzetes képességek és készségek összessége, amelyek megléte nem kötelező, de a tantárgy eredményes teljesítését nagyban elősegíti)
nincs
Recommended (non-compulsory) preliminary competencies
(azon ajánlott (nem kötelező) előzetesen megszerzendő kompetenciák összessége, amelyek jelentősen hozzájárulnak a tantárgy eredményes teljesítéséhez)
Calculus
General rules
Requirements:
a. One mid-term test .
b. Condition for the signature is passing
the test (scoring above 40% ).
Additional possibilities:
There are two
possibilities to repeat the mid-term test.
Assessment methods
In-term assessments
No detailed assessments provided.
Weight of in-term assessments
No weights provided.
Exam-period assessments
No detailed assessments provided.
Weight of exam elements
No weights provided.
Grade calculation
No grade thresholds provided.
Attendance requirements
No attendance requirements provided.
Rules for retake and resubmission
Not provided.
Short description
Not provided.
Detailed description
Not provided.
Recommended courses
Not provided.
Workload to complete the subject
No workload breakdown provided.
Validity of subject requirements
Requirements valid from:
—
Requirements valid until:
—
Curriculum placement
No curriculum placements recorded for this subject version.