UPT
Departamentul de Comunicatii
Advanced Topics in Signal Processing

 

Last update: 2018
Exam topics
TEXTBOOKS/REFERENCES
  • Sidney Burrus, Ramesh A. Gopinath, Haitao Guo, "Introduction to Wavelets and Wavelet Transform: A Primer", Prentice Hall, 1993
  • Steven M. Kay, Fundamentals of Statistical Signal Processing, Estimation Theory, vol. I, Detection Theory, vol.II, Prentice Hall; 1993 (vol I) and 1998 (vol II)
  • Corina Nafornita, "Atacuri asupra imaginilor marcate transparent", (Attacks on watermarked images), Politehnica Publishing House, 2007, published in Romanian [pdf]
  • Corina Nafornita, "Digital Watermarking in the Wavelet Domain", Politehnica Publishing House, Timisoara, 2005, published in English. [pdf]
  • Corina Nafornita, Signals and Systems, vol. 1, Politehnica Publishing House, 2009
  • Corina Nafornita, Alexandru Isar, Signals and Systems, vol. 2, Politehnica Publishing House, 2016
COURSE ACTIVITY
Requirements: Make a PowerPoint presentation regarding the section you were assigned by your class leader, 15-20 slides, presentation time: no more than 15 minutes
  • Sidney Burrus, Ramesh A. Gopinath, Haitao Guo, "Introduction to Wavelets and Wavelet Transform: A Primer", Prentice Hall, 1993
    • Chapter 1. Introduction to Wavelets
    • Chapter 2. A Multiresolution Formulation of Wavelet Systems:
    • Chapter 3. Filter Banks and the Discrete Wavelet Transform :
  • Steven M. Kay, Fundamentals of Statistical Signal Processing, Estimation Theory, vol. I, Prentice Hall
    • Chapter 2. Minimum Variance Unbiased Estimation
    • Chapter 3. Cramer-Rao Lower Bound
    • Chapter 4. Linear Models
    • Chapter 5. General Minimum Variance Unbiased Estimation
    • Chapter 6. Best Linear Unbiased Estimators
    • Chapter 7. Maximum Likelihood Estimation
    • Chapter 8. Least Squares
  • Steven M. Kay, Fundamentals of Statistical Signal Processing, Detection Theory, vol. II, Prentice Hall
    • Chapter 1. Introduction
    • Chapter 2. Summary of important PDFs
    • Chapter 3. Statistical Decision Theory I
PROJECT ACTIVITY
You will study one of the themes proposed. Requirements:

1-Texture classification Study the following article:
M. N. Do and M. Vetterli, "Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance," in IEEE Transactions on Image Processing, vol. 11, no. 2, pp. 146-158, Feb 2002. doi: 10.1109/83.982822
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=982822&isnumber=21173

You will make a report regarding the paper which will contain both the theoretical part as well as the practical part.

Concerning the practical part, you will have to test the algorithm proposed by the authors using their own Matlab source code, found at
http://minhdo.ece.illinois.edu/publications/ and http://minhdo.ece.illinois.edu/software/wave_tex.tar.gz
by solving the proposed homework:

2-SAR Image Denoising Study the following article:
Corina Nafornita, Alexandru Isar, Norbert Matanie and Cristian Caba, Solution of a Big Data Problem. Simulator for Denoising of Single Look Complex SAR Images, 13-th International Symposium on Signals, Circuits and Systems, ISSCS 2017, July 13-14, 2017, Iasi, Romania.
URL: https://ieeexplore.ieee.org/document/8034865 Simulator http://shannon.etc.upt.ro/corina/simulator-denoising-SLC-SAR
You will make a report regarding the paper which will contain both the theoretical part as well as the practical part.