About this Course

305,162 recent views

Learner Career Outcomes

44%

started a new career after completing these courses

40%

got a tangible career benefit from this course

17%

got a pay increase or promotion

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 28 hours to complete

Suggested: 8-10 hours/week...

English

Subtitles: English

Skills you will gain

Signal ProcessingDiscrete Fourier TransformData TransmissionIpythonFourier AnalysisConvolutionLinear AlgebraDigital Signal Processing

Learner Career Outcomes

44%

started a new career after completing these courses

40%

got a tangible career benefit from this course

17%

got a pay increase or promotion

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 28 hours to complete

Suggested: 8-10 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1

Week 1

7 hours to complete

Module 1: Basics of Digital Signal Processing

7 hours to complete
7 videos (Total 93 min), 7 readings, 1 quiz
7 videos
1.1.a Introduction to digital signal processing25m
1.2.a Discrete-time signals16m
1.3.a How your PC plays discrete-time sounds3m
1.3.b The Karplus-Strong algorithm19m
Signal of the Day: Goethe's temperature measurement8m
1.4.a Complex exponentials14m
7 readings
Introduction to Module 15m
Introduction to Lecture 1.15m
Introduction to Lecture 1.25m
Introduction to Lecture 1.35m
Introduction to Lecture 1.45m
Notes and external resources15m
Practice homework for Module 11h
1 practice exercise
Homework for Module 11h 45m
Week
2

Week 2

5 hours to complete

Module 2: Vector Spaces

5 hours to complete
6 videos (Total 63 min), 7 readings, 1 quiz
6 videos
Signal of the Day: Exoplanet hunting9m
2.2.a Vector space15m
2.2.b Signal spaces4m
2.3.a Bases13m
2.4.a Subspace-based approximations16m
7 readings
Introduction to Module 25m
Introduction to Lecture 2.15m
Introduction to Lesson 2.25m
Introduction to Lecture 2.35m
Introduction to Lecture 2.45m
Notes and external resources15m
Practice homework for Module 21h
1 practice exercise
Homework for Module 21h 30m
Week
3

Week 3

9 hours to complete

Module 3: Part 1 - Basics of Fourier Analysis

9 hours to complete
14 videos (Total 95 min), 11 readings, 1 quiz
14 videos
3.1.b The DFT as a change of basis10m
3.2.a DFT definition5m
3.2.b Examples of DFT calculation13m
3.2.c Interpreting a DFT plot4m
3.3.a DFT analysis11m
3.3.b DFT example - analysis of musical instruments4m
3.3.c DFT synthesis5m
3.3.d DFT example - tide prediction in Venice4m
3.3.e DFT example - MP3 compression4m
Signal of the Day: The first man-made signal from outer space5m
3.4.a The short-time Fourier transform5m
3.4.b The spectrogram7m
3.4.c Time-frequency tiling5m
11 readings
Introduction to Module 310m
Introduction to Lesson 3.15m
Summary of Lesson 3.110m
Introduction to Lesson 3.25m
Summary of Lesson 3.210m
Introduction to Lesson 3.35m
Summary of Lesson 3.310m
Real-valued Transforms10m
Introduction to Lesson 3.45m
Summary of Lesson 3.410m
Practice homework for Module 3 Part 11h
1 practice exercise
Homework for Module 3 Part 12h
Week
4

Week 4

8 hours to complete

Module 3: Part 2 - Advanced Fourier Analysis

8 hours to complete
10 videos (Total 116 min), 7 readings, 1 quiz
10 videos
3.5.b Karplus-Strong revisited and DFS7m
3.6.a Karplus-Strong revisited and the DTFT13m
3.6.b Existence and properties of the DTFT7m
3.6.c The DTFT as a change of basis9m
3.7.a Sinusoidal modulation7m
3.7.b Tuning a guitar4m
Signal of the Day: Tristan Chord6m
3.8* Relationship between transforms14m
3.9* The fast Fourier transform42m
7 readings
Introduction to Lesson 3.55m
Summary of Lesson 3.510m
Introduction to Lesson 3.65m
Summary of Lesson 3.610m
Introduction to Lesson 3.75m
Notes and external ressources15m
Practice homework for Module 3 Part 21h
1 practice exercise
Homework for Module 3 Part 22h

Reviews

TOP REVIEWS FROM DIGITAL SIGNAL PROCESSING
View all reviews

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.