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 2: Filtering
Digital Signal Processing 2: Filtering
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.
4.7
(191 reviews)
Intermediate level
Some related experience required
18 hours to complete
3 weeks at 6 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Digital filters, how they work
Digital filter design
Adaptive signal processing
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
3 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 3 modules in this course
How digital filters work in time and in frequency.
What's included
13 videos12 readings1 assignment2 ungraded labs1 plugin
Learning how to choose and design the right filter using the z-transform and numerical tools.
What's included
13 videos11 readings1 assignment2 ungraded labs1 plugin
Analyzing and processing random signals and designing filters that adapt to unknown inputs.
What's included
8 videos6 readings1 assignment1 ungraded lab1 plugin
Instructors
Instructor ratings
4.8 (50 ratings)Offered by
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4.7
191 reviews
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Showing 3 of 191
MC
4
Reviewed on Dec 21, 2021
H鈥媋d to use a lot of outside material - mostly YouTube videos from Rich Radke and Barry Van Veen to complete this course.
M
5
Reviewed on Nov 28, 2020
This is a really good course that has very good exercises
GR
5
Reviewed on May 17, 2024
Excellent content. Right mix of mathematics formulation and implementation.
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