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Signal processing problems, solved in MATLAB and in Python (Udemy.com)

Applications-oriented instruction on signal processing and digital signal processing (DSP) using MATLAB and Python codes

Created by: Mike X Cohen

Last updated August 2026

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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!

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Course Description

Why you need to learn digital signal processing.

Nature is mysterious, beautiful, and complex. Trying to understand nature is deeply rewarding, but also deeply challenging. One of the big challenges in studying nature is data analysis. Nature likes to mix many sources of signals and many sources of noise into the same recordings, and this makes your job difficult.

Therefore, one of the most important goals of time series analysis and signal processing is to denoise: to separate the signals and noises that are mixed into the same data channels.

The big idea of DSP (digital signal processing) is to discover the mysteries that are hidden inside time series data, and this course will teach you the most commonly used discovery strategies.


What's special about this course?

The main focus of this course is on implementing signal processing techniques in MATLAB and in Python. Some theory and equations are shown, but I'm guessing you are reading this because you want to implement DSP techniques on real signals, not just brush up on abstract theory.

The course comes with over 10,000 lines of MATLAB and Python code, plus sample data sets, which you can use to learn from and to adapt to your own coursework or applications.

In this course, you will also learn how to simulate signals in order to test and learn more about your signal processing and analysis methods.

You will also learn how to work with noisy or corrupted signals.


Are there prerequisites?

You need some programming experience. I go through the videos in MATLAB, and you can also follow along using Octave (a free, cross-platform program that emulates MATLAB). I provide corresponding Python code if you prefer Python. You can use any other language, but you would need to do the translation yourself.

I recommend taking my Fourier Transform course before or alongside this course. However, this is not a requirement, and you can succeed in this course without taking the Fourier transform course.


What should you do now?

Watch the sample videos, and check out the reviews of my other courses -- many of them are "best-seller" or "top-rated" and have lots of positive reviews. If you are unsure whether this course is right for you, then feel free to send me a message. I hope you to see you in class!

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Instructor Details

Mike X Cohen

I am a full-time educator and writer, and former professor of neuroscience. I "retired" from that position so I could focus my time and energy creating high-quality educational material just for you.

I have 20 years of experience teaching programming, data analysis, signal processing, statistics, linear algebra, and experiment design. I've taught undergraduate students, PhD candidates, postdoctoral researchers, and full professors. I have taught in "traditional" university courses, special week-long intensive courses, and Nobel prize-winning research labs. I have >100 hours of online lectures on neuroscience data analysis that you can find on my website and youtube channel. And I've written several technical books about these topics with a few more on the way.

I'm not trying to show off -- I'm trying to convince you that you've come to the right place to maximize your learning from an instructor who has spent two decades refining and perfecting his teaching style.

Over 350,000 students have watched over 50,000,000 minutes of my courses. Come find out why!

I have several free courses that you can enroll in. Try them out! You got nothing to lose ;)

                                                  -------------------------

By popular request, here are suggested course progressions for various educational goals:

MATLAB programming: Get Started with MATLAB; Master MATLAB; Image Processing

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Reviews

4.6

2,636 ratings on Udemy

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By Omar Meqbel on 12/6/2025

I have taken 4 very big courses with dr. Mike, and truly he is my #1 online instructor until now! Amazing.. But! in this course, I wanted to learn more on z-domain, and filter design etc. because it's directly from concept to application in MATLAB/Python. Anyways, thank you.

By Krzysztof on 9/12/2024

It would be great if you could create a course on using both continuous and discrete wavelets, at a slightly higher level (and, of course, with Python). Best regards

By Benjamin Racelis on 5/31/2024

Very well done. For how I need to learn coding personally, I wish there were more coding challenges as online lectures (especially post-covid) make it pretty hard to learn anything.

By Dmitry Tatarinov on 2/22/2024

The course explains a lot of what I learned at university in a very understandable way. The tasks at the end of each section were quite challenging for me because I'm not familiar with Matlab, so I killed two birds with one stone, which is very cool. If you have Matlab experience, unlike me, you might find the course much easier.

By Dimitrios Svarnas on 3/31/2023

Great course to get a better understanding on digital signal processing and different techniques. The course is well structured and topics are great explained with a lot of examples. The lecturer describes everything in a clear and understandable way. The provided MATLAB code is also a great way to play around and deepen the understanding.

By Fei Liu on 2/11/2022

Mike shows us so rich MATLAB programming skills, especially in constructing different signal models. And my suggestion is to include relative introduction slides in all source-packages at the very beginning of each section, as Mike presents some background knowledge in videos.

By Reg Davies on 9/30/2020

A well presented course with very clear explanations. Subject area itself is interesting so combined with really good teaching It has been worth undertaking. But, I will also need to come back occasionally to refresh my memory.

By Md Junayed Hasan on 6/17/2020

Professor MIKE is awesome. He covers everything in a such a way, so that the students get motivations to learn more and more. Thank you Professor. A request to the Professor from me: Please make some tutorials / video lectures about "How to detect whether a signal is stationary or not , and linear or not? "

By Jackson on 4/21/2020

An excellent applied introduction to DSP. The code and visuals really help develop a solid understanding of concepts that can be a bit tough from a purely theoretic view. If you have a decent technical background (math and programming), and you want to learn DSP, this course is for you.

By Eric Kappel on 11/18/2018

It is a PERFECT match for me! The ease at which the lecturer presents the complex material, which is generally written in a (for me) too complex format in textbooks, is ... relaxing, reassuring, motivating, fun! It is like i am watching an exiting movie. It is the best value for money for my education (i think even) ever!!!

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Overall Score : 92 / 100