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Overview
This Digital Signal Processing Specialization offered by Coursera in partnership with École Polytechnique Fédérale de Lausanne 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.
What Will You Learn
- 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.
Skills you'll gain
- Mathematics
- Mathematical Theory & Analysis
- Linear Algebra
- Algorithms
- Critical Thinking
- Calculus
Programme Structure
Courses included:
- Digital Signal Processing: Basic Concepts and Algorithms
- Digital Signal Processing: Filtering
- Digital Signal Processing: Analog vs Digital
- Digital Signal Processing: Applications
Key information
Duration
- Part-time
- 2 months
- 10 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Communications Engineering View 8 other Short Courses in Communications Engineering in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Intermediate Level
- College-level calculus and linear algebra.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
- This short course is included with Coursera Plus subscription
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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