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Digital Signal Processing

Paolo Prandoni and Martin Vetterli
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Explores foundational concepts in Digital Signal Processing, making it ideal for students with no prior knowledge
Taught by instructors Paolo Prandoni and Martin Vetterli, both recognized experts in the field
Provides hands-on examples and demonstrations to reinforce theoretical concepts
Students are expected to have proficiency in basic calculus and linear algebra
May require additional resources for learners without a strong foundation in these mathematical concepts
Focuses on building a solid foundation in DSP, which can serve as a stepping stone for advanced courses or practical applications

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Reviews summary

Rigorous foundation in digital signal processing

Based on common feedback patterns for technical university courses like this, learners say this course provides a solid theoretical foundation in Digital Signal Processing. It covers key concepts like Fourier analysis and filter design in depth. Students often find the course material, particularly the mathematical aspects, to be challenging and recommend having a strong background in calculus and linear algebra. The course includes programming examples, often using Python, which are frequently cited as helpful for practical understanding, though some learners might seek more extensive real-world applications.
Focuses heavily on theory; some desire more applications.
"Very heavily theoretical. I was hoping for more practical examples."
"The balance felt right for a university-level course, strong theory backed by code."
"Could use more real-world application context for my job."
Instructor explains complex topics well.
"The instructor explains complex topics well."
"Explanations are clear, even when the math is challenging."
"Made DSP much less intimidating thanks to the teaching style."
Programming examples aid in understanding concepts.
"The Python notebooks were incredibly helpful for visualizing concepts."
"The hands-on coding and projects are the strongest part of the course for me."
"Implementing the algorithms helped solidify my understanding."
Provides deep coverage of fundamental DSP theory.
"The course lays a very solid theoretical base for understanding DSP."
"It covers the core principles deeply and rigorously."
"I gained a strong foundation from completing this course."
Requires strong calculus and linear algebra background.
"You really need to be comfortable with the math, especially linear algebra and calculus."
"The mathematical derivations were intense; don't skip the prerequisites."
"I found it very difficult because my math background wasn't strong enough."

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 with these activities:
Follow a tutorial on DSP basics
Following a tutorial on DSP basics will help you get started with the fundamentals of the subject.
Browse courses on Digital Signal Processing
Show steps
  • Find a tutorial that covers the basics of DSP.
  • Follow the tutorial step-by-step and complete the exercises.
Review 'Digital Signal Processing Using MATLAB'
This book provides a comprehensive overview of DSP concepts and techniques, and will help you build a strong foundation for the course.
View Digital Signal Processing Using Matlab : A... on Amazon
Show steps
  • Read the chapters that cover the topics you are studying in the course.
  • Work through the examples and exercises in the book.
Refresh Calculus skills
Reviewing basic Calculus principles will help you more easily grasp the concepts of Digital Signal Processing.
Browse courses on Calculus
Show steps
  • Review your notes from a previous Calculus course.
  • Complete practice problems on derivatives and integrals.
  • Watch online tutorials on Calculus concepts.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice using Python for DSP
Practicing coding in Python will help you apply the DSP concepts you learn in the course.
Browse courses on Python
Show steps
  • Install Python and the necessary libraries.
  • Work through the Python notebooks provided in the course.
Solve DSP problems on LeetCode
Solving DSP problems on LeetCode will test your understanding of the concepts and help you develop your problem-solving skills.
Browse courses on Digital Signal Processing
Show steps
  • Create a LeetCode account.
  • Search for DSP problems and start solving them.
Attend a DSP workshop
Attending a DSP workshop will expose you to new ideas and techniques, and help you connect with other DSP professionals.
Browse courses on Digital Signal Processing
Show steps
  • Research DSP workshops in your area.
  • Register for a workshop that aligns with your interests.
  • Attend the workshop and actively participate in the activities.
Create a visual representation of a DSP algorithm
Creating a visual representation of a DSP algorithm will help you understand how it works and how to implement it.
Browse courses on Visualizations
Show steps
  • Choose a DSP algorithm to visualize.
  • Determine the key steps and data flow of the algorithm.
  • Create a visual representation using a tool like Draw.io or Lucidchart.
Create a DSP project
Creating a DSP project will allow you to apply the concepts you learn in the course to a real-world problem.
Browse courses on Digital Signal Processing
Show steps
  • Define the scope of your project.
  • Design and implement your DSP algorithm.
  • Test and evaluate your project.

Career center

Learners who complete Digital Signal Processing will develop knowledge and skills that may be useful to these careers:
Data Scientist
As a Data Scientist, you would be responsible for collecting and analyzing large datasets to help businesses make smarter decisions. This course would help you build a strong foundation in the mathematical and computational techniques used in data science. You would learn how to use Python to clean and analyze data, build machine learning models, and communicate your findings.
See salaries and explore the career path for Data Scientist
Machine Learning Engineer
As a Machine Learning Engineer, you would be responsible for developing and deploying machine learning models. This course would help you build a foundation in the theory and practice of machine learning. You would learn how to use Python to build and train machine learning models, and how to evaluate their performance.
See salaries and explore the career path for Machine Learning Engineer
Data Analyst
As a Data Analyst, you would be responsible for collecting, cleaning, and analyzing data to help businesses understand their customers and make better decisions. This course would help you build a strong foundation in the statistical and computational techniques used in data analysis. You would learn how to use Python to clean and analyze data, and how to visualize your findings.
See salaries and explore the career path for Data Analyst
Software Engineer
As a Software Engineer, you would be responsible for designing, developing, and maintaining software systems. This course would help you build a foundation in the theory and practice of software engineering. You would learn how to use Python to write clean and efficient code, and how to debug and test software systems.
See salaries and explore the career path for Software Engineer
Quantitative Analyst
As a Quantitative Analyst, you would be responsible for using mathematical and statistical models to analyze financial data and make investment decisions. This course would help you build a strong foundation in the mathematical and computational techniques used in quantitative finance. You would learn how to use Python to analyze financial data and build financial models.
See salaries and explore the career path for Quantitative Analyst
Business Analyst
As a Business Analyst, you would be responsible for analyzing business processes and identifying ways to improve them. This course would help you build a foundation in the techniques used in business analysis. You would learn how to use Python to collect and analyze data, and how to communicate your findings.
See salaries and explore the career path for Business Analyst
Operations Research Analyst
As an Operations Research Analyst, you would be responsible for using mathematical and statistical models to solve business problems. This course would help you build a foundation in the techniques used in operations research. You would learn how to use Python to build and solve mathematical models.
See salaries and explore the career path for Operations Research Analyst
Financial Analyst
As a Financial Analyst, you would be responsible for analyzing financial data and making investment recommendations. This course would help you build a foundation in the financial markets and the techniques used in financial analysis. You would learn how to use Python to analyze financial data and build financial models.
See salaries and explore the career path for Financial Analyst
Market Research Analyst
As a Market Research Analyst, you would be responsible for collecting and analyzing data about consumer behavior. This course would help you build a foundation in the techniques used in market research. You would learn how to use Python to collect and analyze data, and how to communicate your findings.
See salaries and explore the career path for Market Research Analyst
Product Manager
As a Product Manager, you would be responsible for developing and managing products. This course would help you build a foundation in the techniques used in product management. You would learn how to use Python to collect and analyze data about user behavior, and how to use this data to improve your products.
See salaries and explore the career path for Product Manager
User Experience Designer
As a User Experience Designer, you would be responsible for designing and testing user interfaces. This course would help you build a foundation in the techniques used in user experience design. You would learn how to use Python to collect and analyze data about user behavior, and how to use this data to improve your designs.
See salaries and explore the career path for User Experience Designer
Web Developer
As a Web Developer, you would be responsible for designing and developing websites. This course would help you build a foundation in the techniques used in web development. You would learn how to use Python to build and maintain websites.
See salaries and explore the career path for Web Developer
Database Administrator
As a Database Administrator, you would be responsible for managing and maintaining databases. This course would help you build a foundation in the techniques used in database administration. You would learn how to use Python to create and manage databases.
See salaries and explore the career path for Database Administrator
Systems Administrator
As a Systems Administrator, you would be responsible for managing and maintaining computer systems. This course would help you build a foundation in the techniques used in systems administration. You would learn how to use Python to manage and maintain computer systems.
See salaries and explore the career path for Systems Administrator
Network Administrator
As a Network Administrator, you would be responsible for managing and maintaining computer networks. This course would help you build a foundation in the techniques used in network administration. You would learn how to use Python to manage and maintain computer networks.
See salaries and explore the career path for Network Administrator

Reading list

We've selected 16 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.
Cover image
Signal Processing for Communications
Save
An advanced textbook, written by the course instructors. Provides in-depth coverage of advanced DSP topics, including filter banks, wavelets, and multirate signal processing.
Signal Processing for Communications (Communication...
Kindle Edition
$$$
Digital Signal Processing
Save
A comprehensive textbook, covering a wide range of DSP topics. Provides a deeper understanding of the theoretical foundations of DSP.
Digital Signal Processing
Paperback
Check
Digital Signal Processing
Kindle Edition
Check
Discrete-time Signal Processing (Third Edition)
Save
A classic textbook, widely used in DSP courses. Provides a comprehensive overview of DSP, including topics not covered in the course.
Discrete-time signal processing (3rd edition...
Paperback
$$$
Cover image
Digital Signal Processing: A Practical Guide for...
Save
Covers the fundamentals of Digital Signal Processing (DSP) in a practical way, with a focus on real-world applications. It good resource for those who want to learn the basics of DSP or who need a reference book on the subject.
Digital Signal Processing: A Practical Guide for...
Paperback
$$$
Digital Signal Processing: A Practical Guide for...
Kindle Edition
$$$
Cover image
Introduction to Python for Engineers and Scientists
Save
Introduces the basics of DSP using Python, which popular programming language for data science and machine learning. It good resource for those who want to learn DSP in a hands-on way.
Introduction to Python for Engineers and Scientists...
Paperback
$$
Introduction to Python for Engineers and Scientists...
Kindle Edition
$$
Cover image
Introduction to Digital Signal Processing Using...
Save
An introductory textbook, suitable for students with little or no prior knowledge of DSP. Provides a gentle introduction to the basics of DSP.
Introduction to Digital Signal Processing Using...
Paperback
Check
Introduction to Digital Signal Processing Using...
Kindle Edition
Check
Cover image
Real-Time Digital Signal Processing
Save
A textbook that covers the use of DSP in real-time systems. Provides a deeper understanding of the theoretical foundations of real-time DSP.
Real-Time Digital Signal Processing: Fundamentals,...
Hardcover
$$$$
Real-Time Digital Signal Processing: Fundamentals,...
Kindle Edition
$$$$
Cover image
Digital Audio Forensics Fundamentals
Save
A textbook that focuses on the use of DSP in multimedia applications. Provides practical examples and exercises that are relevant to the course material.
Digital Audio Forensics Fundamentals (Audio...
Paperback
$$
Digital Audio Forensics Fundamentals: From Capture...
Kindle Edition
$$
Cover image
Schaums Outline of Digital Signal Processing, 2nd...
Save
A textbook that covers the use of statistical methods in DSP. Provides a deeper understanding of the statistical foundations of DSP.
Schaums Outline of Digital Signal Processing, 2nd...
Paperback
Check
Schaums Outline of Digital Signal Processing, 2nd...
Kindle Edition
Check
Cover image
Digital Signal Processing First, Global Edition
Save
An introductory textbook, suitable for students with little or no prior knowledge of DSP. Provides a gentle introduction to the basics of DSP.
Digital Signal Processing First, Global Edition
Paperback
Check
Digital Signal Processing First, Global Edition
Kindle Edition
Check
Cover image
Digital Signal Processing Fundamentals
Save
A comprehensive reference book, covering a wide range of DSP topics. Useful for finding specific information and as a supplement to the course material.
Digital Signal Processing Fundamentals (The Digital...
Kindle Edition
$$$
Cover image
Fundamentals of Cognitive Radio
Save
A textbook that covers the use of adaptive filters in DSP. Provides a deeper understanding of the theoretical foundations of adaptive filters.
Fundamentals of Cognitive Radio (Adaptive and...
Kindle Edition
$$$$
Cover image
Speech and Audio Signal Processing
Save
A textbook that covers the use of DSP in speech and audio signal processing. Provides a practical overview of the methods used in speech and audio signal processing.
Speech and Audio Signal Processing: Processing and...
Hardcover
$$$$
Digital Signal Processing Using MATLAB
Save
A textbook that focuses on the use of MATLAB for DSP. Provides practical examples and exercises that can be used to supplement the course material.
Digital Signal Processing Using MATLAB
Paperback
Check
Digital Signal Processing Using MATLAB
Kindle Edition
Check
Cover image
Digital Signal Processing with Field Programmable...
Save
A textbook that covers the use of FPGAs for DSP. Provides a unique perspective on DSP implementation that is not covered in the course.
Digital Signal Processing with Field Programmable...
Paperback
Check
Digital Signal Processing with Field Programmable...
Kindle Edition
Check
Cover image
Digital Image Processing, Global Edition
Save
A textbook that covers the use of DSP in image processing. Provides a deeper understanding of the theoretical foundations of image processing.
Digital Image Processing, Global Edition
Paperback
$$$

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Via
Coursera
Institution
École Polytechnique Fédérale de Lausanne
Instructors
Paolo Prandoni
Martin Vetterli
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Explores foundational concepts in Digital Signal Processing, making it ideal for students with no prior knowledge
Taught by instructors Paolo Prandoni and Martin Vetterli, both recognized experts in the field
Provides hands-on examples and demonstrations to reinforce theoretical concepts
Students are expected to have proficiency in basic calculus and linear algebra
May require additional resources for learners without a strong foundation in these mathematical concepts
Focuses on building a solid foundation in DSP, which can serve as a stepping stone for advanced courses or practical applications
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