Applications-oriented instruction on signal processing and digital signal processing (DSP) using MATLAB and Python codes… Enrolling in course, Signal processing problems, solved in MATLAB and in Python which is taught by Mike X Cohen.
Course: Signal processing problems, solved in MATLAB and in Python
Author: Mike X Cohen is a neuroscientist (brain scientist) and associate professor at the Radboud University in the Netherlands.
Description: Applications-oriented instruction on signal processing and digital signal processing (DSP) using MATLAB and Python codes
Skill Level: Beginner level
Content: 12 hours on-demand video
Lessons: 96 lectures
Categories: Academics / Math & Science / Signal Processing
Includes: Unlimited access – watch the course as many times as you wish!
There is no risk: 30-day money back guarantee! – try it risk free! You have nothing to lose.
Learn Anywhere Available: Computer, mobile device, or tablet – learn at your own pace wherever and whenever works best for you.
Recognition Certificate: Course Certificate of Completion – Certificate of completion to present to your current or future employer!
Take the course, Signal processing problems, solved in MATLAB and in Python. Here are some of the things you’ll be able to do after taking this course:
Upon completing this course, you will design, evaluate, and apply digital filters.
After completion of this course, students will understand common signal processing tools.
By the end of this course, you will know what to look for when something isn’t right with the data or the code.
Upon completion of the course, you will be able to improve MATLAB or Python programming skills.
Upon completion, you will clean and denoise data.
By the end of this course, you will know how to generate test signals for signal processing methods
What students are saying about Mike’s courses:
“Very clear and useful” Victor Sevillano
“So far the experience is good. I will evaluate the course when I am finished ” Harpal Singh.
“Nice course, I need these content in order to catch up the point where I have to finish my thesis which is Deep Learning relevant.” Michaelxuan
“Very useful, albeit a bit long course on Linear Algebra. I really liked all the code examples. Highly recommended!” Rafi Dudekula
Who this course is for:
This course is intended for developers who work with time series data.
This course is perfect for students in a signal processing or digital signal processing (DSP) course.
This course is meant for engineers who learned the math of DSP and want to learn about implementations in software.
This course is perfect for someone who wants to refresh their knowledge about filtering.
This course is an excellent choice!
Enroll in This Online Course Now!
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