École Polytechnique Fédérale de Lausanne
Digital Signal Processing 1: Basic Concepts and Algorithms
École Polytechnique Fédérale de Lausanne

Digital Signal Processing 1: Basic Concepts and Algorithms

Paolo Prandoni
Martin Vetterli

Instructors: Paolo Prandoni

50,978 already enrolled

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Gain insight into a topic and learn the fundamentals.
4.5

(599 reviews)

Intermediate level
Some related experience required
Flexible schedule
Approx. 28 hours
Learn at your own pace
95%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.5

(599 reviews)

Intermediate level
Some related experience required
Flexible schedule
Approx. 28 hours
Learn at your own pace
95%
Most learners liked this course

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

Details to know

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Assessments

4 assignments

Taught in English

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This course is part of the Digital Signal Processing Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course

Introduction to the notation and basics of Digital Signal Processing

What's included

6 videos7 readings1 assignment2 ungraded labs1 plugin

Modeling signals as vectors in an appropriate vector space. Using linear algebra to express signal manipulations.

What's included

7 videos6 readings1 assignment1 ungraded lab1 plugin

The fundamental concepts behind the Fourier transform and the frequency domain

What's included

14 videos10 readings1 assignment3 ungraded labs1 plugin

Delving deeper in the world of Fourier analysis.

What's included

11 videos9 readings1 assignment2 ungraded labs1 plugin

Instructors

Instructor ratings
4.7 (208 ratings)
Paolo Prandoni
École Polytechnique Fédérale de Lausanne
5 Courses119,997 learners

Recommended if you're interested in Electrical Engineering

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4.5

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