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Signal Analysis & Processing

Course Code:

GEO8030

Semester:

8th Semester

Specialization Category:

S.

Course Hours:

4

ECTS:

5

Eclass Link:

https://eclass.uniwa.gr/courses/GEO206/


Course Tutors

Hloupis George

LEARNING OUTCOMES

Upon successful completion of the course, students are expected to:

  • Demonstrate knowledge of the basic concepts of signal analysis in the fields of time and frequency, the continuous time signal sampling procedure as well as the reverse process, ie their reconstruction from samples
  • Distinguish and explain phenomena such as those of frequency folding, non-frequency reconstruction and generally the constraints and problems that arise against digital signal processing
  • Demonstrate critical understanding of methods, ideas, results & conclusions which will be found in engineering science articles, books and journals
  • Analyze signal processing problems in realistic geodetic application scenarios water resources & geoenvironment and produce solutions based on what has been learned.
  • Apply spectral analysis of signals and systems using tools digital systems simulation for output calculation.
  • Interpret the results of spectral analysis of digital signals and systems
  • Design and develop suitable filters for sampling and processing of signals
  • understand the mathematical background and the rules on which non-linear signal analysis
  • analyze, model, develop, synthesize and evaluate new methods & non-linear signal analysis techniques

 

General Competences

Search, analyze and synthesize data and information, using both necessary technologies

  • Project planning & management
  • Autonomous work in an interdisciplinary environment
  • Promotion of free, creative and inductive thinking
  • Decision making
  • Time management – Working with deadlines

 

SYLLABUS

  1. Types and categories of signals (Analog – digital, Continuous – discrete, Deterministic -stochastic signals)
  2. Analog-digital and digital-analog conversion
  3. Statistical characteristics of signal and noise.
  4. Types & categories of systems (Linear – Non-linear systems, Discrete systems time, time invariant systems). Complex & dynamic systems
  5. Spectral Analysis, Correlation Function & Spectrum.
  6. Fourier Transform (FT)
  7. Discrete Transformation (DFT)
  8. DFT applications (spectral system response, power spectra, energy, convolution in the field of frequencies).
  9. Short Time Fourier Transform (STFT).
  10. Filters (Purpose, Types of filters. Stochastic & deterministic filters. Mobile media filters condition, window filters, linear filters, Kalman filters, filter design).
  11. Non-linear signal analysis (Hurst and Lyapunov Exhibitors, correlation dimension, solution R / S, DFA, Wavelets, etc.).
  12. Long system memory.
  13. Data analysis applications in modern geodetic applications (pre-processing, normalizations, transformations, processing, results, evaluation of results)

 

STUDENT PERFORMANCE EVALUATION

Assessment language: Greek (English for ERASMUS students upon request)
Performance evaluation method:
• Final Written Exam (50% of the final grade) of graded difficulty, which include short-answer questions, open-ended questions and solving simple problems.
• Evaluation of laboratory work (30% of the final grade) from lab work
• Evaluation of project (20% of the final grade)

The evaluation criteria have been presented to the students before the final examination. Students can see their evaluation upon request and receive clarifications on their grades.

 

ATTACHED BIBLIOGRAPHY

Suggested bibliography (in Greek):
1. Α. Σκόδρας, Β. Αναστασόπουλος, Ψηφιακή Επεξεργασία σήματος και εικόνας, Εκδόσεις Ελληνικού Ανοικτού Πανεπιστημίου.
2. Γ. Δ. Κόγιας, Εισαγωγή στην Ψηφιακή Επεξεργασία Σήματος, Εκδόσεις Σύγχρονη Εκδοτική, Αθήνα, 2010.
3. Μ. H. Hayes, Θεωρία και προβλήματα στην ψηφιακή επεξεργασία σήματος, (μτφρ.), Εκδόσεις Τζιόλα, Θεσ/νίκη, 2000, ISBN: 9608050111.
4. Αν. Βελώνη, Ν. Μυριδάκης, Ψηφιακή Επεξεργασία Σήματος, Εκδόσεις Τζιόλα, Θεσσσαλονίκη, 2018.
5. Ν. Καλουπτσίδης, Συστήματα και Αλγόριθμοι, Εκδόσεις Δίαυλος, Αθήνα 1993.
6. J. H. McClellan, R. W. Schafer, M. A. Yoder, Θεμελιώδεις έννοιες της επεξεργασίας σημάτων, (μτφρ.), Εκδόσεις Γκότση, 2006, ISBN: 9608771048.
7. A. Antoniou, Ψηφιακή επεξεργασία σήματος, Σήματα συστήματα και φίλτρα, (μτφρ.), Εκδόσεις Τζιόλα, Θεσ/νίκη, 2009, ISBN: 9604181882
8. J. G. Proakis, D. G. Manolakis, Ψηφιακή ανάλυση σήματος, Αρχές, αλγόριθμοι, εφαρμογές, (μτφρ.), Εκδόσεις Ίων, Αθήνα, 2010, ISBN: 9604117157

Suggested bibliography (in English):
1. E. C. Ifeachor, B. W. Jervis, Digital Signal Processing, ISBN: 0201596199.
2. J. G. Proakis, D. G. Manolakis, Digital Signal Processing, ISBN: 0132287315
3. A. Oppenheim, R. Schafer, Digital Signal Processing, ISBN: 0132146355
4. S. K. Mitra, Digital Signal Processing, ISBN: 0071244670