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

4.65 (2367 reviews)

Udemy

platform

English

language

Programming Languages

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

Signal processing problems, solved in MATLAB and in Python – Screenshot 1 — Screenshot 1 – Signal processing problems, solved in MATLAB and in Python

Signal processing problems, solved in MATLAB and in Python – Screenshot 2 — Screenshot 2 – Signal processing problems, solved in MATLAB and in Python

Signal processing problems, solved in MATLAB and in Python – Screenshot 3 — Screenshot 3 – Signal processing problems, solved in MATLAB and in Python

Signal processing problems, solved in MATLAB and in Python – Screenshot 4 — Screenshot 4 – Signal processing problems, solved in MATLAB and in Python

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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.