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Paolo Prandoni
and
Martin Vetterli
Digital Signal Processing is the branch of engineering that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of on-demand entertainment. By reworking the principles of electronics, telecommunication and computer science into a unifying paradigm, DSP is a the heart of the digital revolution that brought us CDs, DVDs, MP3 players, mobile phones and countless other devices.
Read more
Digital Signal Processing is the branch of engineering that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of on-demand entertainment. By reworking the principles of electronics, telecommunication and computer science into a unifying paradigm, DSP is a the heart of the digital revolution that brought us CDs, DVDs, MP3 players, mobile phones and countless other devices.
Read more
Digital Signal Processing is the branch of engineering that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of on-demand entertainment. By reworking the principles of electronics, telecommunication and computer science into a unifying paradigm, DSP is a the heart of the digital revolution that brought us CDs, DVDs, MP3 players, mobile phones and countless other devices.
The goal, for students of this course, will be to learn the fundamentals of Digital Signal Processing from the ground up. Starting from the basic definition of a discrete-time signal, we will work our way through Fourier analysis, filter design, sampling, interpolation and quantization to build a DSP toolset complete enough to analyze a practical communication system in detail. Hands-on examples and demonstration will be routinely used to close the gap between theory and practice.
To make the best of this class, it is recommended that you are proficient in basic calculus and linear algebra; several programming examples will be provided in the form of Python notebooks but you can use your favorite programming language to test the algorithms described in the course.
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What's inside
Syllabus
IMAGE PROCESSING
Image processing and the JPEG compression standard
DIGITAL COMMUNICATIONS AND ADSL
Digital communication systems: voiceband modems and ADSL
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Syllabus
IMAGE PROCESSING
Image processing and the JPEG compression standard
DIGITAL COMMUNICATIONS AND ADSL
Digital communication systems: voiceband modems and ADSL
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Develops techniques for analyzing communication systems, a core skill for telecom engineers
Provides practical examples to illustrate concepts, a valuable feature for concrete understanding
Taught by Paolo Prandoni and Martin Vetterli, renowned experts in the field with extensive research and innovation experience
Covers real-time audio signal processing using practical devices, beneficial for hands-on learning
Requires prior knowledge in basic calculus and linear algebra, which may be a barrier for some learners
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Reviews summary
Dsp applications: bridging theory to practice
According to students, this course excels in its ability to bridge complex DSP theory with real-world applications, making it a highly valuable resource for career-focused individuals. Learners particularly praise the hands-on examples and Python notebooks, finding them instrumental for understanding algorithms. The modules on JPEG compression, ADSL, and real-time audio processing are highlighted as particularly relevant and engaging. However, some learners caution that the course demands a strong foundation in calculus, linear algebra, and DSP fundamentals, with a few finding the pace very demanding for beginners. Overall, it's considered a challenging but rewarding experience for those with the necessary background.
The course moves quickly, requiring dedication to keep up with its depth.
"The course has good content, but it moves very fast. I found myself frequently rewatching lectures."
"The course requires dedication due to its depth, but the concepts are presented logically."
"The theoretical parts were good, but the practical implementation guidance sometimes felt lacking in detail."
Explanations are lucid, making complex DSP concepts accessible.
"The lectures are clear, concise, and dive deep into topics without being overwhelming."
"Excellent and well-structured course. The explanations are very clear, making difficult concepts accessible."
"I found the lectures detailed and the concepts presented logically."
Python notebooks and microcontroller examples are highly beneficial for practical understanding.
"The Python notebooks were incredibly helpful for understanding the algorithms hands-on."
"The practical examples, especially with the Nucleo microcontroller, were a game-changer."
"I especially liked the hands-on approach and the ability to apply what I learned immediately."
Strongly connects DSP theory to relevant real-world applications.
"The way Dr. XYZ links complex DSP theory to real-world applications like JPEG compression and ADSL is simply brilliant."
"I appreciate the emphasis on practical communication systems, which often gets overlooked in more theoretical courses."
"It beautifully explains how theoretical concepts translate into real-world systems. The examples chosen (JPEG, ADSL) are excellent."
Course demands significant prior knowledge in math and DSP fundamentals.
"A strong foundation in calculus and linear algebra is definitely a must to keep up, but for those with the background, it's invaluable."
"If you're not already very strong in DSP fundamentals, you'll struggle. The prerequisites mentioned are truly essential."
"Absolutely terrible for beginners. The course assumes you already know DSP inside out. This needs to be clearly marked as 'advanced' level."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Digital Signal Processing 4: Applications with these
activities:
Review Digital Signal Processing
Show steps
Review the key concepts of Digital Signal Processing to build a stronger foundation and improve comprehension of course materials.
Show steps
-
Read and summarize the introductory chapter on Digital Signal Processing.
-
Review the sections on Fourier analysis and filter design.
Practice Fourier Analysis
Show steps
Reinforce your understanding of Fourier analysis through repetitive exercises, helping you develop a strong foundation for subsequent topics.
Browse courses on
Fourier Analysis
Show steps
-
Solve practice problems involving Fourier transforms.
-
Analyze real-world signals using Fourier analysis techniques.
Follow Tutorials on Digital Communication Systems
Show steps
Expand your knowledge of digital communication systems by following guided tutorials, complementing the course materials with practical examples.
Browse courses on
Digital Communication Systems
Show steps
-
Find online tutorials on digital communication systems.
-
Follow the tutorials and complete the practice exercises.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Mentor a Junior Student in Digital Signal Processing
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Reinforce your understanding while supporting a junior student by mentoring them in Digital Signal Processing, sharing your knowledge and fostering their growth.
Browse courses on
Mentoring
Show steps
-
Identify a junior student interested in Digital Signal Processing.
-
Offer regular mentorship sessions to guide and support their learning.
Attend a Workshop on Real-Time Audio Signal Processing
Show steps
Gain practical experience in real-time audio signal processing by attending a workshop, applying the concepts learned in the course to a hands-on project.
Show steps
-
Identify and register for a suitable workshop.
-
Participate actively in the workshop and complete the project.
Form a Study Group for Advanced Topics
Show steps
Enhance your understanding of advanced topics by collaborating with peers in a study group, discussing research papers and exploring current trends in Digital Signal Processing.
Browse courses on
Research Papers
Show steps
-
Identify classmates with shared interests in advanced topics.
-
Organize regular study sessions to discuss selected research papers.
Create a Digital Signal Processing Tutorial
Show steps
Deepen your understanding by creating a tutorial on a specific aspect of Digital Signal Processing, solidifying your concepts and contributing to the learning community.
Show steps
-
Identify a suitable topic within Digital Signal Processing.
-
Develop and record a tutorial that explains the topic clearly.
Participate in a Signal Processing Competition
Show steps
Challenge yourself and showcase your skills by participating in a signal processing competition, applying your knowledge to real-world scenarios and fostering innovation.
Browse courses on
Problem-Solving
Show steps
-
Identify and register for a relevant competition.
-
Form a team or work individually on the competition.
Review Digital Signal Processing
Show steps
Review the key concepts of Digital Signal Processing to build a stronger foundation and improve comprehension of course materials.
Show steps
Show steps
Show steps
- Read and summarize the introductory chapter on Digital Signal Processing.
- Review the sections on Fourier analysis and filter design.
Practice Fourier Analysis
Show steps
Reinforce your understanding of Fourier analysis through repetitive exercises, helping you develop a strong foundation for subsequent topics.
Browse courses on
Fourier Analysis
Show steps
Show steps
Show steps
- Solve practice problems involving Fourier transforms.
- Analyze real-world signals using Fourier analysis techniques.
Follow Tutorials on Digital Communication Systems
Show steps
Expand your knowledge of digital communication systems by following guided tutorials, complementing the course materials with practical examples.
Browse courses on
Digital Communication Systems
Show steps
Show steps
Show steps
- Find online tutorials on digital communication systems.
- Follow the tutorials and complete the practice exercises.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Mentor a Junior Student in Digital Signal Processing
Show steps
Reinforce your understanding while supporting a junior student by mentoring them in Digital Signal Processing, sharing your knowledge and fostering their growth.
Browse courses on
Mentoring
Show steps
Show steps
Show steps
- Identify a junior student interested in Digital Signal Processing.
- Offer regular mentorship sessions to guide and support their learning.
Attend a Workshop on Real-Time Audio Signal Processing
Show steps
Gain practical experience in real-time audio signal processing by attending a workshop, applying the concepts learned in the course to a hands-on project.
Show steps
Show steps
Show steps
- Identify and register for a suitable workshop.
- Participate actively in the workshop and complete the project.
Form a Study Group for Advanced Topics
Show steps
Enhance your understanding of advanced topics by collaborating with peers in a study group, discussing research papers and exploring current trends in Digital Signal Processing.
Browse courses on
Research Papers
Show steps
Show steps
Show steps
- Identify classmates with shared interests in advanced topics.
- Organize regular study sessions to discuss selected research papers.
Create a Digital Signal Processing Tutorial
Show steps
Deepen your understanding by creating a tutorial on a specific aspect of Digital Signal Processing, solidifying your concepts and contributing to the learning community.
Show steps
Show steps
Show steps
- Identify a suitable topic within Digital Signal Processing.
- Develop and record a tutorial that explains the topic clearly.
Participate in a Signal Processing Competition
Show steps
Challenge yourself and showcase your skills by participating in a signal processing competition, applying your knowledge to real-world scenarios and fostering innovation.
Browse courses on
Problem-Solving
Show steps
Show steps
Show steps
- Identify and register for a relevant competition.
- Form a team or work individually on the competition.
Career center
Learners who complete Digital Signal Processing 4: Applications will develop knowledge and skills
that may be useful to these careers:
Signal Processing Engineer
Signal Processing Engineer
A Signal Processing Engineer develops and applies techniques for processing signals. They work for a variety of companies, including telecommunications companies, medical imaging companies, and manufacturing companies. This course may be useful for aspiring Signal Processing Engineers because it provides a strong foundation in the principles of digital signal processing.
Broadcast Engineer
Broadcast Engineer
A Broadcast Engineer designs, installs, and maintains the equipment used for broadcasting radio and television signals. They work at broadcasting stations, cable companies, and other facilities that transmit audio and video content. This course may be useful for aspiring Broadcast Engineers because it provides a strong foundation in the principles of digital signal processing, which are essential for understanding how broadcast equipment works.
Communications Engineer
Communications Engineer
A Communications Engineer designs, installs, and maintains the equipment used for transmitting and receiving data. They work for telecommunications companies, government agencies, and other organizations that need to communicate over long distances. This course may be useful for aspiring Communications Engineers because it provides a strong foundation in the principles of digital signal processing, which are essential for understanding how communications equipment works.
Computer Engineer
Computer Engineer
A Computer Engineer designs, develops, and maintains computer systems. They work for a variety of companies, including hardware manufacturers, software developers, and consulting firms. This course may be useful for aspiring Computer Engineers because it provides a strong foundation in the principles of digital signal processing, which are essential for understanding how computers work.
Data Scientist
Data Scientist
A Data Scientist collects, analyzes, and interprets data to help businesses make better decisions. They work for a variety of companies, including technology companies, financial institutions, and healthcare organizations. This course may be useful for aspiring Data Scientists because it provides a strong foundation in the principles of digital signal processing, which are essential for understanding how to analyze data.
Electrical Engineer
Electrical Engineer
An Electrical Engineer designs, develops, and maintains electrical systems. They work for a variety of companies, including power plants, manufacturing facilities, and transportation companies. This course may be useful for aspiring Electrical Engineers because it provides a strong foundation in the principles of digital signal processing, which are essential for understanding how electrical systems work.
Image Processing Engineer
Image Processing Engineer
An Image Processing Engineer develops and applies techniques for processing images. They work for a variety of companies, including medical imaging companies, manufacturing companies, and security companies. This course may be useful for aspiring Image Processing Engineers because it provides a strong foundation in the principles of digital signal processing, which are essential for understanding how to process images.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer develops and applies machine learning algorithms to solve problems. They work for a variety of companies, including technology companies, financial institutions, and healthcare organizations. This course may be useful for aspiring Machine Learning Engineers because it provides a strong foundation in the principles of digital signal processing, which are essential for understanding how to develop and apply machine learning algorithms.
Network Engineer
Network Engineer
A Network Engineer designs, installs, and maintains computer networks. They work for a variety of companies, including telecommunications companies, government agencies, and other organizations that need to communicate over long distances. This course may be useful for aspiring Network Engineers because it provides a strong foundation in the principles of digital signal processing, which are essential for understanding how computer networks work.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. They work for a variety of companies, including technology companies, financial institutions, and healthcare organizations. This course may be useful for aspiring Software Engineers because it provides a strong foundation in the principles of digital signal processing, which are essential for understanding how to develop and apply software applications.
Systems Engineer
Systems Engineer
A Systems Engineer designs, develops, and maintains complex systems. They work for a variety of companies, including technology companies, manufacturing companies, and transportation companies. This course may be useful for aspiring Systems Engineers because it provides a strong foundation in the principles of digital signal processing, which are essential for understanding how to design and develop complex systems.
Telecommunications Engineer
Telecommunications Engineer
A Telecommunications Engineer designs, installs, and maintains telecommunications systems. They work for a variety of companies, including telecommunications companies, government agencies, and other organizations that need to communicate over long distances. This course may be useful for aspiring Telecommunications Engineers because it provides a strong foundation in the principles of digital signal processing, which are essential for understanding how telecommunications systems work.
Web Developer
Web Developer
A Web Developer designs, develops, and maintains websites. They work for a variety of companies, including technology companies, marketing agencies, and educational institutions. This course may be useful for aspiring Web Developers because it provides a strong foundation in the principles of digital signal processing, which are essential for understanding how to develop and apply web applications.
Audio Engineer
Audio Engineer
An Audio Engineer designs and operates the equipment that records, mixes, reproduces, and reinforces sound. They work in a variety of settings, including recording studios, concert halls, and theaters. This course may be useful for aspiring Audio Engineers because it provides a strong foundation in the principles of digital signal processing, which are essential for understanding how audio equipment works.
Data Engineer
Data Engineer
A Data Engineer develops and maintains data pipelines. They work for a variety of companies, including technology companies, financial institutions, and healthcare organizations. This course may be useful for aspiring Data Engineers because it provides a strong foundation in the principles of digital signal processing, which are essential for understanding how to develop and maintain data pipelines.
For more career information including salaries, visit:
OpenCourser.com/course/iqh0sc/digital
Reading list
We've selected nine books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Digital Signal Processing 4: Applications.
This practical guide provides a comprehensive treatment of DSP techniques, with a focus on real-world applications. Hands-on examples and exercises throughout the text help students learn about the practical aspects of DSP.
Provides a comprehensive and practical guide to digital signal processing using MATLAB. Covers the fundamental concepts and techniques of DSP, with a focus on real-world applications.
Provides a comprehensive and accessible introduction to digital signal processing. Covers the fundamental concepts and techniques of DSP, with a focus on practical applications.
This textbook provides a comprehensive and accessible introduction to digital image processing. Covers the fundamental concepts and techniques of image processing, making it a useful resource for students in this area.
This textbook provides a comprehensive and in-depth treatment of digital communications. Covers the fundamental principles and techniques of digital communications, making it a valuable resource for both students and professionals alike.
Save
This textbook provides a comprehensive and accessible introduction to computer vision. Covers the fundamental concepts and techniques of computer vision, making it a useful resource for students in this area.
This primer provides a concise and accessible introduction to image processing and analysis. Covers the fundamental concepts and techniques of image processing, making it a useful resource for students in this area.
Provides a comprehensive and accessible introduction to signals, systems, and transforms. Serves as a good foundation for students interested in learning about digital signal processing.
Provides a comprehensive overview of audio signal processing and coding. Covers the fundamental concepts and techniques of audio processing, with a focus on applications in music and communication.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/iqh0sc/digital
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Effort
8-10 hours/week
Level
Intermediate
Via
Coursera
Institution
École Polytechnique Fédérale de Lausanne2
Instructors
Paolo Prandoni
Martin Vetterli
Language
English
Transcripts
Español
Français
Português
Deutsch
Italiano
中文
العربية
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日本語
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magyar nyelv
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اُردُو,
فارسی
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tiếng Việt
پښتو
آذربایجان دیلی
This course belongs to a
collection
called
Digital Signal Processing. It's comprised of four courses:
- Digital Signal Processing 2: Filtering
- Digital Signal Processing 3: Analog vs Digital
- Digital Signal Processing 1: Basic Concepts and Algorithms
- Digital Signal Processing 4: Applications (viewing)
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