subject
Intro

Coursera: Digital Signal Processing

 with  Paolo Prandoni and Martin Vetterli
Sponsored
Data Analytics Certificate
Cornell University via eCornell
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.

Syllabus

Module 1: Basics of Digital Signal Processing


Module 2: Vector Spaces


Module 3: Part 1 - Basics of Fourier Analysis


Module 3: Part 2 - Advanced Fourier Analysis


Module 4: Part 1 Introduction to Filtering


Module 4: Part 2 Filter Design


Module 5: Sampling and Quantization


Module 6: Digital Communication Systems - Module 7: Image Processing


5 Student
reviews
Cost Free Online Course (Audit)
Provider Coursera
Language English
Certificates Paid Certificate Available
Hours 8-10 hours a week
Calendar 8 weeks long
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5 reviews for Coursera's Digital Signal Processing

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3 out of 3 people found the following review useful
3 years ago
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Anonymous completed this course.
Good introductory course in signal processing. A bit harder on the math side than other signal processing MOOCs that I have taken.
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1 out of 1 people found the following review useful
4 years ago
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Akshay Gupta completed this course.
course where you can surely learn a lot basic about signals and their processing.Also if you have a background knowledge it is one of the courses you must definitely do.
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1 out of 3 people found the following review useful
2 years ago
Gil completed this course, spending 15 hours a week on it and found the course difficulty to be hard.
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a year ago
Zhe Li completed this course.
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1 out of 5 people found the following review useful
4 years ago
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Marta completed this course, spending 4 hours a week on it and found the course difficulty to be medium.
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