Signal processing problems, solved in MATLAB and in Python
Applications-oriented instruction on signal processing and digital signal processing (DSP) using MATLAB and Python codes
4.68 (2349 reviews)
18 038
students
12.5 hours
content
Apr 2025
last update
$84.99
regular price
What you will learn
Understand commonly used signal processing tools
Design, evaluate, and apply digital filters
Clean and denoise data
Know what to look for when something isn't right with the data or the code
Improve MATLAB or Python programming skills
Know how to generate test signals for signal processing methods
*Fully manually corrected English captions!
Course Gallery
Charts
Students
Price
Rating & Reviews
Enrollment Distribution
Comidoc Review
Our Verdict
This applications-oriented signal processing course taught by an expert instructor, Mike, offers a perfect balance of theoretical knowledge and practical implementation for MATLAB and Python learners. With its unique approach combining essential DSP tools and techniques, it distinguishes itself as the go-to resource for students and professionals seeking to bolster their interdisciplinary research projects or enhance industry skills.
What We Liked
- Incredibly detailed and hands-on course with clear explanations, making it easy for diverse backgrounds to grasp complex signal processing concepts.
- Gain expertise in both MATLAB and Python coding through practical examples, code challenges, and high-quality manual corrections.
- Comprehensive coverage of crucial digital signal processing applications such as filtering, data cleaning, and denoising.
- Ideal for interdisciplinary research projects, fostering a strong understanding of the intersection between electrical engineering, mathematics, statistics, and computer programming.
Potential Drawbacks
- Limited scope in showcasing intricacies of MATLAB/Python coding during video presentations, expecting some experimentation post-lecture.
- Some learners may face a slight challenge if they are not familiar with MATLAB or Python programming initially, but the course provides an excellent foundation.
- A few learners might wish for more domain-specific examples focused on their industry.
- Minor typo or grammatical errors in captions - however, this does not hinder learning.
Related Topics
1923998
udemy ID
20/09/2018
course created date
13/09/2019
course indexed date
Bot
course submited by