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.
Digital Signal Processing 1: Basic Concepts and Algorithms
Digital Signal Processing 1: Basic Concepts and Algorithms
This course is part of Digital Signal Processing Specialization
Instructors: Paolo Prandoni
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Gain insight into a topic and learn the fundamentals.
4.5
(603 reviews)
Intermediate level
Some related experience required
Flexible schedule
Approx. 28 hours
Learn at your own pace
95%
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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
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Assessments
4 assignments
Taught in English
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This course is part of the Digital Signal Processing 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 (209 ratings)Offered by
Recommended if you're interested in Electrical Engineering
Infosec
University of Leeds
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University of Colorado Boulder
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