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Signal Processing Education

Introduction to Digital Watermarking - Lecture Slides


Lecture notes for undergraduate and first-year graduate students on digital watermarking and data embedding in multimedia data.

Based on lectures developed at University of Maryland, College Park, USA.

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408S12_lec9_MMwmk.pdf

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[1] , "Introduction to Digital Watermarking - Lecture Slides", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/133. Accessed: Feb. 25, 2017.
@article{133-15,
url = {http://sigport.org/133},
author = { },
publisher = {IEEE SigPort},
title = {Introduction to Digital Watermarking - Lecture Slides},
year = {2015} }
TY - EJOUR
T1 - Introduction to Digital Watermarking - Lecture Slides
AU -
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/133
ER -
. (2015). Introduction to Digital Watermarking - Lecture Slides. IEEE SigPort. http://sigport.org/133
, 2015. Introduction to Digital Watermarking - Lecture Slides. Available at: http://sigport.org/133.
. (2015). "Introduction to Digital Watermarking - Lecture Slides." Web.
1. . Introduction to Digital Watermarking - Lecture Slides [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/133

Technique for Numerical Computation of Cramér-Rao Bound using MATLAB


The purpose of this note is to provide an effective means to compute the Cramér-Rao lower bound numerically for deterministic parameter estimation problems with the use of symbolic computation in MATLAB.

CRLB.pdf

PDF icon CRLB.pdf (96 downloads)

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18 November 2016 - 9:33am
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CRLB.pdf

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[1] , "Technique for Numerical Computation of Cramér-Rao Bound using MATLAB", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1274. Accessed: Feb. 25, 2017.
@article{1274-16,
url = {http://sigport.org/1274},
author = { },
publisher = {IEEE SigPort},
title = {Technique for Numerical Computation of Cramér-Rao Bound using MATLAB},
year = {2016} }
TY - EJOUR
T1 - Technique for Numerical Computation of Cramér-Rao Bound using MATLAB
AU -
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1274
ER -
. (2016). Technique for Numerical Computation of Cramér-Rao Bound using MATLAB. IEEE SigPort. http://sigport.org/1274
, 2016. Technique for Numerical Computation of Cramér-Rao Bound using MATLAB. Available at: http://sigport.org/1274.
. (2016). "Technique for Numerical Computation of Cramér-Rao Bound using MATLAB." Web.
1. . Technique for Numerical Computation of Cramér-Rao Bound using MATLAB [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1274

DIY Sky Imager For Weather Observation


In this tutorial, we describe how to design a Whole Sky Imager from off-the-shelf components. Subsequently, we use signal processing techniques to derive instantaneous cloud coverage value from the captured images.

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Soumyabrata Dev, Florian M. Savoy, Yee Hui Lee, Stefan Winkler
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27 July 2016 - 11:36pm
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DIY Sky Imager Project.pdf

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[1] Soumyabrata Dev, Florian M. Savoy, Yee Hui Lee, Stefan Winkler, "DIY Sky Imager For Weather Observation", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1136. Accessed: Feb. 25, 2017.
@article{1136-16,
url = {http://sigport.org/1136},
author = {Soumyabrata Dev; Florian M. Savoy; Yee Hui Lee; Stefan Winkler },
publisher = {IEEE SigPort},
title = {DIY Sky Imager For Weather Observation},
year = {2016} }
TY - EJOUR
T1 - DIY Sky Imager For Weather Observation
AU - Soumyabrata Dev; Florian M. Savoy; Yee Hui Lee; Stefan Winkler
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1136
ER -
Soumyabrata Dev, Florian M. Savoy, Yee Hui Lee, Stefan Winkler. (2016). DIY Sky Imager For Weather Observation. IEEE SigPort. http://sigport.org/1136
Soumyabrata Dev, Florian M. Savoy, Yee Hui Lee, Stefan Winkler, 2016. DIY Sky Imager For Weather Observation. Available at: http://sigport.org/1136.
Soumyabrata Dev, Florian M. Savoy, Yee Hui Lee, Stefan Winkler. (2016). "DIY Sky Imager For Weather Observation." Web.
1. Soumyabrata Dev, Florian M. Savoy, Yee Hui Lee, Stefan Winkler. DIY Sky Imager For Weather Observation [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1136

IITH SPCUP Project Report


We present two contributions in this work: i)Novel electric network frequency (ENF) classification algorithm, and ii)Circuit for measuring power signals from the power grid.We first propose a novel ENF signal estimation algorithm.This algorithm explicitly makes use of the harmonic information present in the signal and estimates the nominal frequency based on the most reliable harmonic. The ENF signal is estimated from the most reliable harmonic by employing a Gaussian weighting window to mitigate the effects of noise. We

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Authors:
Chandra Prakash Konkimalla, Sristi Ram Dyuthi, Sukrutha Anumandla, Harshitha Machiraju, Pranavi Bajjuri, Wasim Akram, Pankaj Kumar, Ajinkya Mulay, Sushma Siddamsetty, Asvini R,Francis K. J. , Sumohana S. Channappayya
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16 June 2016 - 12:42am
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IITH_SPCUP_Report.pdf

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[1] Chandra Prakash Konkimalla, Sristi Ram Dyuthi, Sukrutha Anumandla, Harshitha Machiraju, Pranavi Bajjuri, Wasim Akram, Pankaj Kumar, Ajinkya Mulay, Sushma Siddamsetty, Asvini R,Francis K. J. , Sumohana S. Channappayya, "IITH SPCUP Project Report", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1123. Accessed: Feb. 25, 2017.
@article{1123-16,
url = {http://sigport.org/1123},
author = {Chandra Prakash Konkimalla; Sristi Ram Dyuthi; Sukrutha Anumandla; Harshitha Machiraju; Pranavi Bajjuri; Wasim Akram; Pankaj Kumar; Ajinkya Mulay; Sushma Siddamsetty; Asvini R;Francis K. J. ; Sumohana S. Channappayya },
publisher = {IEEE SigPort},
title = {IITH SPCUP Project Report},
year = {2016} }
TY - EJOUR
T1 - IITH SPCUP Project Report
AU - Chandra Prakash Konkimalla; Sristi Ram Dyuthi; Sukrutha Anumandla; Harshitha Machiraju; Pranavi Bajjuri; Wasim Akram; Pankaj Kumar; Ajinkya Mulay; Sushma Siddamsetty; Asvini R;Francis K. J. ; Sumohana S. Channappayya
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1123
ER -
Chandra Prakash Konkimalla, Sristi Ram Dyuthi, Sukrutha Anumandla, Harshitha Machiraju, Pranavi Bajjuri, Wasim Akram, Pankaj Kumar, Ajinkya Mulay, Sushma Siddamsetty, Asvini R,Francis K. J. , Sumohana S. Channappayya. (2016). IITH SPCUP Project Report. IEEE SigPort. http://sigport.org/1123
Chandra Prakash Konkimalla, Sristi Ram Dyuthi, Sukrutha Anumandla, Harshitha Machiraju, Pranavi Bajjuri, Wasim Akram, Pankaj Kumar, Ajinkya Mulay, Sushma Siddamsetty, Asvini R,Francis K. J. , Sumohana S. Channappayya, 2016. IITH SPCUP Project Report. Available at: http://sigport.org/1123.
Chandra Prakash Konkimalla, Sristi Ram Dyuthi, Sukrutha Anumandla, Harshitha Machiraju, Pranavi Bajjuri, Wasim Akram, Pankaj Kumar, Ajinkya Mulay, Sushma Siddamsetty, Asvini R,Francis K. J. , Sumohana S. Channappayya. (2016). "IITH SPCUP Project Report." Web.
1. Chandra Prakash Konkimalla, Sristi Ram Dyuthi, Sukrutha Anumandla, Harshitha Machiraju, Pranavi Bajjuri, Wasim Akram, Pankaj Kumar, Ajinkya Mulay, Sushma Siddamsetty, Asvini R,Francis K. J. , Sumohana S. Channappayya. IITH SPCUP Project Report [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1123

SP Cup technical report: Team UNStoppable, Serbia


The Electric network frequency (ENF) signal is a unique signal for different parts of the world. It is captured by electric devices, and can be used in authentication and automatic synchronization of digital media recordings. In this paper we propose an algorithm to extract ENF from power and audio recordings, and use ENF criterion to identify the region-of-recording. We also propose a design of a circuit to record the electrical power grid.

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Milivoje Knežević, Željana Šarić, Tijana Zrnić, Anastazia Žunić, Tijana Delić
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13 June 2016 - 4:18pm
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UNStoppable_technical_report.pdf

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[1] Milivoje Knežević, Željana Šarić, Tijana Zrnić, Anastazia Žunić, Tijana Delić, "SP Cup technical report: Team UNStoppable, Serbia", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1116. Accessed: Feb. 25, 2017.
@article{1116-16,
url = {http://sigport.org/1116},
author = {Milivoje Knežević; Željana Šarić; Tijana Zrnić; Anastazia Žunić; Tijana Delić },
publisher = {IEEE SigPort},
title = {SP Cup technical report: Team UNStoppable, Serbia},
year = {2016} }
TY - EJOUR
T1 - SP Cup technical report: Team UNStoppable, Serbia
AU - Milivoje Knežević; Željana Šarić; Tijana Zrnić; Anastazia Žunić; Tijana Delić
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1116
ER -
Milivoje Knežević, Željana Šarić, Tijana Zrnić, Anastazia Žunić, Tijana Delić. (2016). SP Cup technical report: Team UNStoppable, Serbia. IEEE SigPort. http://sigport.org/1116
Milivoje Knežević, Željana Šarić, Tijana Zrnić, Anastazia Žunić, Tijana Delić, 2016. SP Cup technical report: Team UNStoppable, Serbia. Available at: http://sigport.org/1116.
Milivoje Knežević, Željana Šarić, Tijana Zrnić, Anastazia Žunić, Tijana Delić. (2016). "SP Cup technical report: Team UNStoppable, Serbia." Web.
1. Milivoje Knežević, Željana Šarić, Tijana Zrnić, Anastazia Žunić, Tijana Delić. SP Cup technical report: Team UNStoppable, Serbia [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1116

Electric Network Frequency (ENF) Recognition


Power grids are available all over the world for their necessity in all our everyday activities. Each power grid has its own electrical network frequency pattern which is considered as a signature or a finger print of this power grid. Any audio/video recorded in a power grid, whether directly connected to the power mains or not, is affected by the ENF signature of this grid. Post processing could take place to extract the ENF pattern from recordings which can be used in localization of different media signals recorded among grids.

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Abdelrahman Gaber, Abdelrahman Zayed, Basem Ahmed, Eslam Elshiekh, Hesham Aly, Ibrahim Sherif, Khaled Elgammal, Omar Ahmadein, Omar Elzaafarany, Taha Gamal
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13 June 2016 - 2:55pm
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Final_Report.pdf

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[1] Abdelrahman Gaber, Abdelrahman Zayed, Basem Ahmed, Eslam Elshiekh, Hesham Aly, Ibrahim Sherif, Khaled Elgammal, Omar Ahmadein, Omar Elzaafarany, Taha Gamal, "Electric Network Frequency (ENF) Recognition", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1115. Accessed: Feb. 25, 2017.
@article{1115-16,
url = {http://sigport.org/1115},
author = {Abdelrahman Gaber; Abdelrahman Zayed; Basem Ahmed; Eslam Elshiekh; Hesham Aly; Ibrahim Sherif; Khaled Elgammal; Omar Ahmadein; Omar Elzaafarany; Taha Gamal },
publisher = {IEEE SigPort},
title = {Electric Network Frequency (ENF) Recognition},
year = {2016} }
TY - EJOUR
T1 - Electric Network Frequency (ENF) Recognition
AU - Abdelrahman Gaber; Abdelrahman Zayed; Basem Ahmed; Eslam Elshiekh; Hesham Aly; Ibrahim Sherif; Khaled Elgammal; Omar Ahmadein; Omar Elzaafarany; Taha Gamal
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1115
ER -
Abdelrahman Gaber, Abdelrahman Zayed, Basem Ahmed, Eslam Elshiekh, Hesham Aly, Ibrahim Sherif, Khaled Elgammal, Omar Ahmadein, Omar Elzaafarany, Taha Gamal. (2016). Electric Network Frequency (ENF) Recognition. IEEE SigPort. http://sigport.org/1115
Abdelrahman Gaber, Abdelrahman Zayed, Basem Ahmed, Eslam Elshiekh, Hesham Aly, Ibrahim Sherif, Khaled Elgammal, Omar Ahmadein, Omar Elzaafarany, Taha Gamal, 2016. Electric Network Frequency (ENF) Recognition. Available at: http://sigport.org/1115.
Abdelrahman Gaber, Abdelrahman Zayed, Basem Ahmed, Eslam Elshiekh, Hesham Aly, Ibrahim Sherif, Khaled Elgammal, Omar Ahmadein, Omar Elzaafarany, Taha Gamal. (2016). "Electric Network Frequency (ENF) Recognition." Web.
1. Abdelrahman Gaber, Abdelrahman Zayed, Basem Ahmed, Eslam Elshiekh, Hesham Aly, Ibrahim Sherif, Khaled Elgammal, Omar Ahmadein, Omar Elzaafarany, Taha Gamal. Electric Network Frequency (ENF) Recognition [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1115

“UpatrasECE” SPCUP 2016 Project Report

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Ioannis Krillis, Maria Papaioannou
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29 May 2016 - 6:20am
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Report_ID24479.pdf

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[1] Ioannis Krillis, Maria Papaioannou, "“UpatrasECE” SPCUP 2016 Project Report", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1110. Accessed: Feb. 25, 2017.
@article{1110-16,
url = {http://sigport.org/1110},
author = {Ioannis Krillis; Maria Papaioannou },
publisher = {IEEE SigPort},
title = {“UpatrasECE” SPCUP 2016 Project Report},
year = {2016} }
TY - EJOUR
T1 - “UpatrasECE” SPCUP 2016 Project Report
AU - Ioannis Krillis; Maria Papaioannou
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1110
ER -
Ioannis Krillis, Maria Papaioannou. (2016). “UpatrasECE” SPCUP 2016 Project Report. IEEE SigPort. http://sigport.org/1110
Ioannis Krillis, Maria Papaioannou, 2016. “UpatrasECE” SPCUP 2016 Project Report. Available at: http://sigport.org/1110.
Ioannis Krillis, Maria Papaioannou. (2016). "“UpatrasECE” SPCUP 2016 Project Report." Web.
1. Ioannis Krillis, Maria Papaioannou. “UpatrasECE” SPCUP 2016 Project Report [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1110

Information on the MAST ENF Power Signature Dataset


At the intersection of signal processing and information forensics, the Signal Processing Cup 2016 global competition has explored a time-varying location-dependent signature of power grids that can be intrinsically captured in media recordings. This signature is called the Electric Network Frequency (ENF) signals. Throughout the SP Cup 2016 competition, participants were provided with multiple training, practice, and testing datasets that consisted of recordings made in different grids and containing ENF traces.

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24 October 2016 - 4:19pm
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Information on the MAST ENF Power Signature Dataset.pdf

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[1] , "Information on the MAST ENF Power Signature Dataset", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1108. Accessed: Feb. 25, 2017.
@article{1108-16,
url = {http://sigport.org/1108},
author = { },
publisher = {IEEE SigPort},
title = {Information on the MAST ENF Power Signature Dataset},
year = {2016} }
TY - EJOUR
T1 - Information on the MAST ENF Power Signature Dataset
AU -
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1108
ER -
. (2016). Information on the MAST ENF Power Signature Dataset. IEEE SigPort. http://sigport.org/1108
, 2016. Information on the MAST ENF Power Signature Dataset. Available at: http://sigport.org/1108.
. (2016). "Information on the MAST ENF Power Signature Dataset." Web.
1. . Information on the MAST ENF Power Signature Dataset [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1108

Lecture Notes on Digital Signal Processing


Lecture notes on digital signal processing for undergraduate and first-year graduate students.

These teaching materials are based on lectures developed at Department of Electronic Engineering, City University of Hong Kong, Hong Kong SAR, China.

The corresponding MATLAB files can be downloaded at

http://www.ee.cityu.edu.hk/~hcso/MATLAB.zip (629 downloads)

DSP.pdf

PDF icon DSP.pdf (1319 downloads)

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23 February 2016 - 1:43pm
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DSP.pdf

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[1] , "Lecture Notes on Digital Signal Processing", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/199. Accessed: Feb. 25, 2017.
@article{199-15,
url = {http://sigport.org/199},
author = { },
publisher = {IEEE SigPort},
title = {Lecture Notes on Digital Signal Processing},
year = {2015} }
TY - EJOUR
T1 - Lecture Notes on Digital Signal Processing
AU -
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/199
ER -
. (2015). Lecture Notes on Digital Signal Processing. IEEE SigPort. http://sigport.org/199
, 2015. Lecture Notes on Digital Signal Processing. Available at: http://sigport.org/199.
. (2015). "Lecture Notes on Digital Signal Processing." Web.
1. . Lecture Notes on Digital Signal Processing [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/199

How to Derive Bias and Mean Square Error for an Estimator?


Analyzing the performance of estimators is a typical task in signal processing. Two fundamental performance measures in the aspect of accuracy are bias and mean square error (MSE). In this presentation, we revisit a simple technique to produce the bias and MSE of an estimator that minimizes or maximizes an unconstrained differentiable cost function over a continuous space of the parameter vector under the small error conditions. This presentation is a companion work of: H. C. So, Y. T. Chan, K. C. Ho and Y.

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23 February 2016 - 1:43pm
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compute_bias_mse.pdf

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[1] , "How to Derive Bias and Mean Square Error for an Estimator?", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/194. Accessed: Feb. 25, 2017.
@article{194-15,
url = {http://sigport.org/194},
author = { },
publisher = {IEEE SigPort},
title = {How to Derive Bias and Mean Square Error for an Estimator?},
year = {2015} }
TY - EJOUR
T1 - How to Derive Bias and Mean Square Error for an Estimator?
AU -
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/194
ER -
. (2015). How to Derive Bias and Mean Square Error for an Estimator?. IEEE SigPort. http://sigport.org/194
, 2015. How to Derive Bias and Mean Square Error for an Estimator?. Available at: http://sigport.org/194.
. (2015). "How to Derive Bias and Mean Square Error for an Estimator?." Web.
1. . How to Derive Bias and Mean Square Error for an Estimator? [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/194

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