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Signal Processing Education

Introduction to Digital Watermarking - Lecture Slides

Min Wu

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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Authors:
Min Wu
Submitted On:
23 February 2016 - 1:43pm
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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: Aug. 19, 2019.
@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

LMS: PAST, PRESENT AND FUTURE: Puzzles, Problems and Potentials

Victor Solo

We give a brief history of the performance analysis of LMS.
Using averaging theory we show when and why the ‘independence
assumption’ ‘works’; we preface this with a fast
heuristic explanation of averaging methods, clarifying their
connection to the ‘ODE’ method. We then extend the discussion
to more recent distributed versions such as diffusion
LMS and consensus. While single node LMS is a single timescale
algorithm it turns out that distributed versions are twotime
scale systems, something that is not yet widely understood.

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Authors:
Victor Solo
Submitted On:
25 June 2019 - 12:16am
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[1] , "LMS: PAST, PRESENT AND FUTURE: Puzzles, Problems and Potentials", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4566. Accessed: Aug. 19, 2019.
@article{4566-19,
url = {http://sigport.org/4566},
author = { },
publisher = {IEEE SigPort},
title = {LMS: PAST, PRESENT AND FUTURE: Puzzles, Problems and Potentials},
year = {2019} }
TY - EJOUR
T1 - LMS: PAST, PRESENT AND FUTURE: Puzzles, Problems and Potentials
AU -
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4566
ER -
. (2019). LMS: PAST, PRESENT AND FUTURE: Puzzles, Problems and Potentials. IEEE SigPort. http://sigport.org/4566
, 2019. LMS: PAST, PRESENT AND FUTURE: Puzzles, Problems and Potentials. Available at: http://sigport.org/4566.
. (2019). "LMS: PAST, PRESENT AND FUTURE: Puzzles, Problems and Potentials." Web.
1. . LMS: PAST, PRESENT AND FUTURE: Puzzles, Problems and Potentials [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4566

COLLABORATION BETWEEN BORDEAUX-INP AND UTP, FROM RESEARCH TO EDUCATION, IN THE FIELD OF SIGNAL PROCESSING

Hector Poveda

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Authors:
Hector Poveda
Fernando Merchan, Héctor Poveda, Eric Grivel
Submitted On:
13 May 2019 - 4:57pm
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[1] Fernando Merchan, Héctor Poveda, Eric Grivel , "COLLABORATION BETWEEN BORDEAUX-INP AND UTP, FROM RESEARCH TO EDUCATION, IN THE FIELD OF SIGNAL PROCESSING", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4492. Accessed: Aug. 19, 2019.
@article{4492-19,
url = {http://sigport.org/4492},
author = {Fernando Merchan; Héctor Poveda; Eric Grivel },
publisher = {IEEE SigPort},
title = {COLLABORATION BETWEEN BORDEAUX-INP AND UTP, FROM RESEARCH TO EDUCATION, IN THE FIELD OF SIGNAL PROCESSING},
year = {2019} }
TY - EJOUR
T1 - COLLABORATION BETWEEN BORDEAUX-INP AND UTP, FROM RESEARCH TO EDUCATION, IN THE FIELD OF SIGNAL PROCESSING
AU - Fernando Merchan; Héctor Poveda; Eric Grivel
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4492
ER -
Fernando Merchan, Héctor Poveda, Eric Grivel . (2019). COLLABORATION BETWEEN BORDEAUX-INP AND UTP, FROM RESEARCH TO EDUCATION, IN THE FIELD OF SIGNAL PROCESSING. IEEE SigPort. http://sigport.org/4492
Fernando Merchan, Héctor Poveda, Eric Grivel , 2019. COLLABORATION BETWEEN BORDEAUX-INP AND UTP, FROM RESEARCH TO EDUCATION, IN THE FIELD OF SIGNAL PROCESSING. Available at: http://sigport.org/4492.
Fernando Merchan, Héctor Poveda, Eric Grivel . (2019). "COLLABORATION BETWEEN BORDEAUX-INP AND UTP, FROM RESEARCH TO EDUCATION, IN THE FIELD OF SIGNAL PROCESSING." Web.
1. Fernando Merchan, Héctor Poveda, Eric Grivel . COLLABORATION BETWEEN BORDEAUX-INP AND UTP, FROM RESEARCH TO EDUCATION, IN THE FIELD OF SIGNAL PROCESSING [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4492

EDUQA : EDUCATIONAL DOMAIN QUESTION ANSWERING SYSTEM USING CONCEPTUAL NETWORK MAPPING

Nikhil Sachdeva
Vrinda Mittal
Anubha Gupta

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Authors:
Nikhil Sachdeva
Vrinda Mittal
Anubha Gupta
Abhishek Agarwal, Raj Kamal Yadav, Vishaal Udandarao, Abhinav Mathur
Submitted On:
10 May 2019 - 6:48pm
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Presentation - EDUQA.pdf

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[1] Abhishek Agarwal, Raj Kamal Yadav, Vishaal Udandarao, Abhinav Mathur, "EDUQA : EDUCATIONAL DOMAIN QUESTION ANSWERING SYSTEM USING CONCEPTUAL NETWORK MAPPING", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4423. Accessed: Aug. 19, 2019.
@article{4423-19,
url = {http://sigport.org/4423},
author = {Abhishek Agarwal; Raj Kamal Yadav; Vishaal Udandarao; Abhinav Mathur },
publisher = {IEEE SigPort},
title = {EDUQA : EDUCATIONAL DOMAIN QUESTION ANSWERING SYSTEM USING CONCEPTUAL NETWORK MAPPING},
year = {2019} }
TY - EJOUR
T1 - EDUQA : EDUCATIONAL DOMAIN QUESTION ANSWERING SYSTEM USING CONCEPTUAL NETWORK MAPPING
AU - Abhishek Agarwal; Raj Kamal Yadav; Vishaal Udandarao; Abhinav Mathur
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4423
ER -
Abhishek Agarwal, Raj Kamal Yadav, Vishaal Udandarao, Abhinav Mathur. (2019). EDUQA : EDUCATIONAL DOMAIN QUESTION ANSWERING SYSTEM USING CONCEPTUAL NETWORK MAPPING. IEEE SigPort. http://sigport.org/4423
Abhishek Agarwal, Raj Kamal Yadav, Vishaal Udandarao, Abhinav Mathur, 2019. EDUQA : EDUCATIONAL DOMAIN QUESTION ANSWERING SYSTEM USING CONCEPTUAL NETWORK MAPPING. Available at: http://sigport.org/4423.
Abhishek Agarwal, Raj Kamal Yadav, Vishaal Udandarao, Abhinav Mathur. (2019). "EDUQA : EDUCATIONAL DOMAIN QUESTION ANSWERING SYSTEM USING CONCEPTUAL NETWORK MAPPING." Web.
1. Abhishek Agarwal, Raj Kamal Yadav, Vishaal Udandarao, Abhinav Mathur. EDUQA : EDUCATIONAL DOMAIN QUESTION ANSWERING SYSTEM USING CONCEPTUAL NETWORK MAPPING [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4423

SMART DSP FOR A SMARTER POWER GRID: TEACHING POWER SYSTEM ANALYSIS THROUGH SIGNAL PROCESSING

Ahmad Moniri
Danilo Mandic

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Authors:
Ahmad Moniri
Danilo Mandic
Ahmad Moniri, Anthony G. Constantinides, Danilo Mandic
Submitted On:
10 May 2019 - 5:02pm
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[1] Ahmad Moniri, Anthony G. Constantinides, Danilo Mandic, "SMART DSP FOR A SMARTER POWER GRID: TEACHING POWER SYSTEM ANALYSIS THROUGH SIGNAL PROCESSING ", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4409. Accessed: Aug. 19, 2019.
@article{4409-19,
url = {http://sigport.org/4409},
author = {Ahmad Moniri; Anthony G. Constantinides; Danilo Mandic },
publisher = {IEEE SigPort},
title = {SMART DSP FOR A SMARTER POWER GRID: TEACHING POWER SYSTEM ANALYSIS THROUGH SIGNAL PROCESSING },
year = {2019} }
TY - EJOUR
T1 - SMART DSP FOR A SMARTER POWER GRID: TEACHING POWER SYSTEM ANALYSIS THROUGH SIGNAL PROCESSING
AU - Ahmad Moniri; Anthony G. Constantinides; Danilo Mandic
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4409
ER -
Ahmad Moniri, Anthony G. Constantinides, Danilo Mandic. (2019). SMART DSP FOR A SMARTER POWER GRID: TEACHING POWER SYSTEM ANALYSIS THROUGH SIGNAL PROCESSING . IEEE SigPort. http://sigport.org/4409
Ahmad Moniri, Anthony G. Constantinides, Danilo Mandic, 2019. SMART DSP FOR A SMARTER POWER GRID: TEACHING POWER SYSTEM ANALYSIS THROUGH SIGNAL PROCESSING . Available at: http://sigport.org/4409.
Ahmad Moniri, Anthony G. Constantinides, Danilo Mandic. (2019). "SMART DSP FOR A SMARTER POWER GRID: TEACHING POWER SYSTEM ANALYSIS THROUGH SIGNAL PROCESSING ." Web.
1. Ahmad Moniri, Anthony G. Constantinides, Danilo Mandic. SMART DSP FOR A SMARTER POWER GRID: TEACHING POWER SYSTEM ANALYSIS THROUGH SIGNAL PROCESSING [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4409

Signals and Systems:Casting it as an Action-Adventure rather than a Horror Genre

Roberto Togneri

Simple but effective strategies for an undergraduate introductory course in signals and systems are described in this paper. These include peer facilitated tutorials, optional class tests, in-class only lab assessment and use of interactive animations. Peer facilitated tutorials were designed to support students to help other students. The optional class tests removed the stress and anxiety students face. With in-class only lab assessment the time students spent writing lab reports was replaced with time devoted to preparing and doing the lab together as a group.

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Roberto Togneri
Roberto Togneri, Sally Male
Submitted On:
8 May 2019 - 8:15pm
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[1] Roberto Togneri, Sally Male, "Signals and Systems:Casting it as an Action-Adventure rather than a Horror Genre", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4137. Accessed: Aug. 19, 2019.
@article{4137-19,
url = {http://sigport.org/4137},
author = {Roberto Togneri; Sally Male },
publisher = {IEEE SigPort},
title = {Signals and Systems:Casting it as an Action-Adventure rather than a Horror Genre},
year = {2019} }
TY - EJOUR
T1 - Signals and Systems:Casting it as an Action-Adventure rather than a Horror Genre
AU - Roberto Togneri; Sally Male
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4137
ER -
Roberto Togneri, Sally Male. (2019). Signals and Systems:Casting it as an Action-Adventure rather than a Horror Genre. IEEE SigPort. http://sigport.org/4137
Roberto Togneri, Sally Male, 2019. Signals and Systems:Casting it as an Action-Adventure rather than a Horror Genre. Available at: http://sigport.org/4137.
Roberto Togneri, Sally Male. (2019). "Signals and Systems:Casting it as an Action-Adventure rather than a Horror Genre." Web.
1. Roberto Togneri, Sally Male. Signals and Systems:Casting it as an Action-Adventure rather than a Horror Genre [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4137

LMS To Deep Learning: How DSP Analysis Adds Depth To Learning

Paul Gorday

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Authors:
Paul Gorday
Paul Gorday, Nurgun Erdol, Hanqi Zhuang
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8 May 2019 - 8:24am
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[1] Paul Gorday, Nurgun Erdol, Hanqi Zhuang, "LMS To Deep Learning: How DSP Analysis Adds Depth To Learning", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/3933. Accessed: Aug. 19, 2019.
@article{3933-19,
url = {http://sigport.org/3933},
author = {Paul Gorday; Nurgun Erdol; Hanqi Zhuang },
publisher = {IEEE SigPort},
title = {LMS To Deep Learning: How DSP Analysis Adds Depth To Learning},
year = {2019} }
TY - EJOUR
T1 - LMS To Deep Learning: How DSP Analysis Adds Depth To Learning
AU - Paul Gorday; Nurgun Erdol; Hanqi Zhuang
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/3933
ER -
Paul Gorday, Nurgun Erdol, Hanqi Zhuang. (2019). LMS To Deep Learning: How DSP Analysis Adds Depth To Learning. IEEE SigPort. http://sigport.org/3933
Paul Gorday, Nurgun Erdol, Hanqi Zhuang, 2019. LMS To Deep Learning: How DSP Analysis Adds Depth To Learning. Available at: http://sigport.org/3933.
Paul Gorday, Nurgun Erdol, Hanqi Zhuang. (2019). "LMS To Deep Learning: How DSP Analysis Adds Depth To Learning." Web.
1. Paul Gorday, Nurgun Erdol, Hanqi Zhuang. LMS To Deep Learning: How DSP Analysis Adds Depth To Learning [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/3933

ONLINE EDUCATION EVALUATION FOR SIGNAL PROCESSING COURSE THROUGH STUDENT LEARNING PATHWAYS

hongrui kelvin ng

Impact of online learning sequences to forecast course outcomes for an undergraduate digital signal processing (DSP) course is studied in this work. A multi-modal learning schema based on deep-learning techniques with learning sequences, psychometric measures, and personality traits as input features is developed in this work. The aim is to identify any underlying patterns in the learning sequences and subsequently forecast the learning outcomes.

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Authors:
hongrui kelvin ng
Kelvin H.R. Ng, Sivanagaraja Tatinati, Andy W.H. Khong
Submitted On:
24 April 2018 - 2:09am
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[1] Kelvin H.R. Ng, Sivanagaraja Tatinati, Andy W.H. Khong, "ONLINE EDUCATION EVALUATION FOR SIGNAL PROCESSING COURSE THROUGH STUDENT LEARNING PATHWAYS", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3160. Accessed: Aug. 19, 2019.
@article{3160-18,
url = {http://sigport.org/3160},
author = {Kelvin H.R. Ng; Sivanagaraja Tatinati; Andy W.H. Khong },
publisher = {IEEE SigPort},
title = {ONLINE EDUCATION EVALUATION FOR SIGNAL PROCESSING COURSE THROUGH STUDENT LEARNING PATHWAYS},
year = {2018} }
TY - EJOUR
T1 - ONLINE EDUCATION EVALUATION FOR SIGNAL PROCESSING COURSE THROUGH STUDENT LEARNING PATHWAYS
AU - Kelvin H.R. Ng; Sivanagaraja Tatinati; Andy W.H. Khong
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3160
ER -
Kelvin H.R. Ng, Sivanagaraja Tatinati, Andy W.H. Khong. (2018). ONLINE EDUCATION EVALUATION FOR SIGNAL PROCESSING COURSE THROUGH STUDENT LEARNING PATHWAYS. IEEE SigPort. http://sigport.org/3160
Kelvin H.R. Ng, Sivanagaraja Tatinati, Andy W.H. Khong, 2018. ONLINE EDUCATION EVALUATION FOR SIGNAL PROCESSING COURSE THROUGH STUDENT LEARNING PATHWAYS. Available at: http://sigport.org/3160.
Kelvin H.R. Ng, Sivanagaraja Tatinati, Andy W.H. Khong. (2018). "ONLINE EDUCATION EVALUATION FOR SIGNAL PROCESSING COURSE THROUGH STUDENT LEARNING PATHWAYS." Web.
1. Kelvin H.R. Ng, Sivanagaraja Tatinati, Andy W.H. Khong. ONLINE EDUCATION EVALUATION FOR SIGNAL PROCESSING COURSE THROUGH STUDENT LEARNING PATHWAYS [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3160

Teaching Signals & Systems in a Project-Based Environment

Rebecca Bates

Project-based learning is a form of active learning where large-scale projects provide context for technical learning. Along with background information, this paper examines teaching and learning of signals and systems in the context of two ABET accredited project-based learning programs. Examples of projects, deep learning activities and classroom activities are provided.

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Authors:
Rebecca Bates
Robert Sleezer, Eleanor Leung, Rebecca Bates
Submitted On:
21 April 2018 - 3:17pm
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Teaching Signals & Systems in a Project-Based Environment

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[1] Robert Sleezer, Eleanor Leung, Rebecca Bates, "Teaching Signals & Systems in a Project-Based Environment", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3124. Accessed: Aug. 19, 2019.
@article{3124-18,
url = {http://sigport.org/3124},
author = {Robert Sleezer; Eleanor Leung; Rebecca Bates },
publisher = {IEEE SigPort},
title = {Teaching Signals & Systems in a Project-Based Environment},
year = {2018} }
TY - EJOUR
T1 - Teaching Signals & Systems in a Project-Based Environment
AU - Robert Sleezer; Eleanor Leung; Rebecca Bates
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3124
ER -
Robert Sleezer, Eleanor Leung, Rebecca Bates. (2018). Teaching Signals & Systems in a Project-Based Environment. IEEE SigPort. http://sigport.org/3124
Robert Sleezer, Eleanor Leung, Rebecca Bates, 2018. Teaching Signals & Systems in a Project-Based Environment. Available at: http://sigport.org/3124.
Robert Sleezer, Eleanor Leung, Rebecca Bates. (2018). "Teaching Signals & Systems in a Project-Based Environment." Web.
1. Robert Sleezer, Eleanor Leung, Rebecca Bates. Teaching Signals & Systems in a Project-Based Environment [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3124

Automatically Linking Digital Signal Processing Assessment Questions to Key Engineering Learning Outcomes

Supraja S

To deliver on the potential outcome-based teaching and learning holds for engineering education, it is important for engineering courses to provide students with different types of deliberate practice opportunities that align to the program’s learning outcomes. Working from these requirements, we increased the design and measurement intentionality of a digital signal processing (DSP) course.

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Authors:
Supraja S
Sivanagaraja Tatinati, Kevin Hartman, Andy W. H. Khong
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14 April 2018 - 4:40am
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[1] Sivanagaraja Tatinati, Kevin Hartman, Andy W. H. Khong, "Automatically Linking Digital Signal Processing Assessment Questions to Key Engineering Learning Outcomes", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2813. Accessed: Aug. 19, 2019.
@article{2813-18,
url = {http://sigport.org/2813},
author = {Sivanagaraja Tatinati; Kevin Hartman; Andy W. H. Khong },
publisher = {IEEE SigPort},
title = {Automatically Linking Digital Signal Processing Assessment Questions to Key Engineering Learning Outcomes},
year = {2018} }
TY - EJOUR
T1 - Automatically Linking Digital Signal Processing Assessment Questions to Key Engineering Learning Outcomes
AU - Sivanagaraja Tatinati; Kevin Hartman; Andy W. H. Khong
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2813
ER -
Sivanagaraja Tatinati, Kevin Hartman, Andy W. H. Khong. (2018). Automatically Linking Digital Signal Processing Assessment Questions to Key Engineering Learning Outcomes. IEEE SigPort. http://sigport.org/2813
Sivanagaraja Tatinati, Kevin Hartman, Andy W. H. Khong, 2018. Automatically Linking Digital Signal Processing Assessment Questions to Key Engineering Learning Outcomes. Available at: http://sigport.org/2813.
Sivanagaraja Tatinati, Kevin Hartman, Andy W. H. Khong. (2018). "Automatically Linking Digital Signal Processing Assessment Questions to Key Engineering Learning Outcomes." Web.
1. Sivanagaraja Tatinati, Kevin Hartman, Andy W. H. Khong. Automatically Linking Digital Signal Processing Assessment Questions to Key Engineering Learning Outcomes [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2813

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