This Specialization provides a full course in Digital Signal Processing, with a focus on audio processing and data transmission. You will start from the basic concepts of discrete-time signals and proceed to learn how to analyze data via the Fourier transform, how to manipulate data via digital filters and how to convert analog signals into digital format. Finally, you will also discover how to implement real-time DSP algorithms on a general-purpose microcontroller. The solid theoretical bases provided by the four courses in this specialization are complemented by applied examples in Python, in the form of Jupyter Notebooks; exercises with solutions provide a wealth of examples in order to tackle the weekly homework.
Digital Signal Processing Specialization
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Digital Signal Processing Specialization
Digital Signal Processing from theory to practice. Discover discrete-time signal and analyze them with the Fourier transform. Manipulate signals with filters. Move back and forth from the analog to the digital world and learn about digital data communication and real-time DSP.
Instructors: Martin Vetterli
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Get in-depth knowledge of a subject
4.6
(490 reviews)
Intermediate level
Recommended experience
2 months at 10 hours a week
Flexible schedule
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Share your expertise with employers
Get in-depth knowledge of a subject
4.6
(490 reviews)
Intermediate level
Recommended experience
2 months at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
What you'll learn
Discover discrete-time signal and analyze them with the Fourier transform.
Learn to manipulate signals with filters.
Move back and forth from the analog to the digital world.
Learn about digital data communication and real-time DSP.
Overview
Skills you'll gain
- Engineering Calculations
- Mathematical Modeling
- Electronic Systems
- Digital Communications
- Engineering Analysis
- Calculus
- Telecommunications
- Numerical Analysis
- Computer Engineering
- Electrical and Computer Engineering
- Image Analysis
- Algorithms
- Linear Algebra
- Advanced Mathematics
- Programming Principles
- Electronics Engineering
- Electronics
- Electrical Engineering
- Embedded Systems
- Applied Mathematics
What’s included
Shareable certificate
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Taught in English
13 practice exercises
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from École Polytechnique Fédérale de Lausanne
Specialization - 4 course series
What you'll learn
The nature of discrete-time signals
Discrete-time signals are vectors in a vector space
Discrete-time signals can be analyzed in the frequency domain via the Fourier transform
Skills you'll gain
Category: Linear Algebra
Category: Electrical and Computer Engineering
Category: Electronics
Category: Algorithms
Category: Advanced Mathematics
Category: Mathematical Modeling
Category: Digital Communications
Category: Engineering Analysis
Category: Computational Logic
Category: Applied Mathematics
Category: Telecommunications
Category: Programming Principles
Category: Time Series Analysis and Forecasting
What you'll learn
Digital filters, how they work
Digital filter design
Adaptive signal processing
Skills you'll gain
Category: Numerical Analysis
Category: Algorithms
Category: Computer Engineering
Category: Mathematical Modeling
Category: Applied Mathematics
Category: Real Time Data
Category: Engineering Calculations
Category: Digital Communications
Category: Linear Algebra
Category: Electronic Systems
Category: Telecommunications
Category: Engineering Analysis
Category: Electrical and Computer Engineering
Category: Electrical Engineering
Category: Data Mapping
What you'll learn
The difference between continuous and discrete time
Sampling and interpolation
Quantization, A/D and D/A converters
Multirate signal processing
Skills you'll gain
Category: Numerical Analysis
Category: Engineering Analysis
Category: Systems Of Measurement
Category: Electronics Engineering
Category: Linear Algebra
Category: Electrical and Computer Engineering
Category: Digital Communications
Category: Quantitative Research
Category: Applied Mathematics
Category: Telecommunications
Category: Mathematical Modeling
Category: Electronics
Category: Calculus
What you'll learn
The basics of image processing
How digital communication systems work, including ADSL
How to program a microcontroller to implement real-time DSP algorithms
Skills you'll gain
Category: Image Analysis
Category: Digital Communications
Category: Quantitative Research
Category: Computer Hardware
Category: Embedded Systems
Category: Telecommunications
Category: Electrical and Computer Engineering
Category: Electronic Systems
Category: Debugging
Category: Applied Mathematics
Category: Engineering Analysis
Category: Electronics
Category: Algorithms
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Frequently asked questions
You will need to complete to 4 courses of the Specialization.
The recommended background is college-level calculus and linear algebra.
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
More questions
Financial aid available,