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Digital Signal Processing 3: Analog vs Digital

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Digital Signal Processing 3: Analog vs Digital

This course is part of Digital Signal Processing Specialization

Instructors: Paolo Prandoni

15,275 already enrolled

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4 modules

Gain insight into a topic and learn the fundamentals.

94 reviews

Intermediate level

Some related experience required

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

94 reviews

Intermediate level

Some related experience required

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

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

Details to know

Shareable certificate

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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

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.

The goal, for students of this course, will be to learn the fundamentals of Digital Signal Processing from the ground up. Starting from the basic definition of a discrete-time signal, we will work our way through Fourier analysis, filter design, sampling, interpolation and quantization to build a DSP toolset complete enough to analyze a practical communication system in detail. Hands-on examples and demonstration will be routinely used to close the gap between theory and practice. To make the best of this class, it is recommended that you are proficient in basic calculus and linear algebra; several programming examples will be provided in the form of Python notebooks but you can use your favorite programming language to test the algorithms described in the course.

Module details

From continuous time to discrete time and vice versa.

What's included

10 videos9 readings1 assignment1 ungraded lab1 plugin

10 videosTotal 65 minutes

3.1.1.a The continuous-time paradigm7 minutes
3.1.1.b Continuous-time signal processing8 minutes
3.1.1.c Bandlimited functions3 minutes
3.1.2.a Polynomial interpolation10 minutes
3.1.2.b Local interpolation6 minutes
3.2.1.c Sinc interpolation5 minutes
3.1.3.a The spectrum of interpolated signals6 minutes
3.1.3.b The space of bandlimited functions6 minutes
3.1.3.c The sampling theorem6 minutes
Signal of the Day: Fukushima7 minutes

9 readingsTotal 94 minutes

Welcome to DSP Three!5 minutes
Introduction2 minutes
What have we learned?5 minutes
Introduction1 minute
What have we learned?10 minutes
Introduction2 minutes
What have we learned?5 minutes
Practice homework60 minutes
Further reading4 minutes

1 assignmentTotal 120 minutes

Homework for Module 3.1120 minutes

1 ungraded labTotal 60 minutes

The Fukushima Disaster and Bandlimited Interpolation60 minutes

1 pluginTotal 15 minutes

Feedback W115 minutes

What happens when we sample continuous-time signals and problems we should anticipate.

What's included

5 videos4 readings1 assignment1 plugin

5 videosTotal 42 minutes

3.2.1.a Raw sampling3 minutes
3.2.1.b Sinusoidal aliasing14 minutes
3.2.1.c Aliasing for arbitrary spectra13 minutes
3.2.2.a Sampling strategies5 minutes
3.2.2.b Bandpass sampling7 minutes

4 readingsTotal 74 minutes

Introduction6 minutes
What have we learned?5 minutes
Introduction3 minutes
Practice homework60 minutes

1 assignmentTotal 30 minutes

Homework for Module 3.230 minutes

1 pluginTotal 15 minutes

Feedback W215 minutes

How to change the sampling rate entirely from the discrete-time domain.

What's included

3 videos3 readings1 assignment1 ungraded lab1 plugin

3 videosTotal 32 minutes

3.3.1.a Upsampling12 minutes
3.3.1.b Downsampling12 minutes
3.3.2 FIR-based sampling rate conversion8 minutes

3 readingsTotal 17 minutes

Introduction3 minutes
What have we learned?4 minutes
Practice Homework10 minutes

1 assignmentTotal 60 minutes

Homework for Module 3.460 minutes

1 ungraded labTotal 60 minutes

Rational Sampling Rate Change60 minutes

1 pluginTotal 15 minutes

Feedback W315 minutes

Going from analog to digital, and vice-versa.

What's included

8 videos6 readings1 assignment1 ungraded lab1 plugin

8 videosTotal 75 minutes

3.4.1.a Quantization9 minutes
3.4.1.b Clipping, saturation and companding2 minutes
3.4.2 Analog-to-digital and digital-to-analog converters11 minutes
3.4.3.a Practical sampling and interpolation11 minutes
3.4.3.b Oversampled D/A11 minutes
3.4.3.c Oversampled A/D5 minutes
MP3 Compression19 minutes
Signal of the Day: Lehman Brothers7 minutes

6 readingsTotal 77 minutes

Introduction3 minutes
What have we learned?3 minutes
Introduction3 minutes
Introduction3 minutes
What have we learned?5 minutes
Practice homework for Module 3.460 minutes

1 assignmentTotal 30 minutes

Homework for Module 3.430 minutes

1 ungraded labTotal 60 minutes

One-Bit Music60 minutes

1 pluginTotal 15 minutes

Feedback W415 minutes

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Instructors

Instructor ratings

(17 ratings)

Paolo Prandoni

École Polytechnique Fédérale de Lausanne

5 Courses131,981 learners

Offered by

École Polytechnique Fédérale de Lausanne

Learner reviews

5 stars
88.29%
4 stars
9.57%
3 stars
0%
2 stars
0%
1 star
2.12%

Showing 3 of 94

Reviewed on Jan 28, 2022

Excellent continuation to EPFL's DSP series. Mathematically rigorous but highly applicable.

Reviewed on Oct 19, 2022

Excellent course this course is use for Analog to Digital

Reviewed on Jul 6, 2020

Great course with nice examples. However I got stuck on week 3 quiz for a long time which was a little tricky, but otherwise the tests were also good and they checked the concepts well.

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