Learn the Fourier transform in MATLAB and Python, and its applications in digital signal processing and image processing
The Fourier transform is one of the most important operations in signal processing and modern technology, and therefore in modern human civilization. But how does it work, and why does it work?
What you will learn in this course:
You will learn the theoretical and computational bases of the Fourier transform, with a strong focus on how the Fourier transform is used in modern applications in signal processing, data analysis, and image filtering. The course covers not only the basics, but also advanced topics including effects of non-stationarities, spectral resolution, normalization, filtering. All videos come with MATLAB and Python code for you to learn from and adapt!
This course is focused on implementations of the Fourier transform on computers, and applications in digital signal processing (1D) and image processing (2D). I don't go into detail about setting up and solving integration problems to obtain analytical solutions. Thus, this course is more on the computer science/data science/engineering side of things, rather than on the pure mathematics/differential equations/infinite series side.
This course is for you if you are an aspiring or established:
Data scientist
Statistician
Computer scientist (MATLAB and/or Python)
Signal processing or image processing expert (or aspiring!)
Biologist
Engineer
Student
Curious independent learner!
What you get in this course:
>6 hours of video lectures that include explanations, pictures, and diagrams
pdf readers with important notes and explanations
Many exercises and their solutions! (Note: exercises are in the pdf readers)
MATLAB code, Python code, and sample datasets for applications
With >3000 lines of MATLAB and Python code, this course is also a great way to improve your programming skills, particularly in the context of signal processing and image processing.
Why I am qualified to teach this course:
I have been using the Fourier transform extensively in my research and teaching (primarily in MATLAB) for nearly two decades. I have written several textbooks about data analysis, programming, and statistics, that rely extensively on the Fourier transform. Most importantly: I have taught the Fourier transform to bachelor's students, PhD students, professors, and professionals, and I have taught to people from many backgrounds, including biology, psychology, physics, mathematics, and engineering.
So what are you waiting for??
Watch the course introductory video to learn more about the contents of this course and about my teaching style. And scroll down to see what other students think of this course and of my teaching style.
I hope to see you soon in the course!
Mike
Learn about one of the single most important equations in all of modern technology and therefore human civilization.
The fundamental concepts underlying the Fourier transform
Sine waves, complex numbers, dot products, sampling theorem, aliasing, and more!
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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....
Nice breakdown of each step to clearly understand the material.
I am finding this course very useful.
O instrutor é bastante didático e o material de suporte ajuda bastante na compreensão do conteúdo.
Mike is a very dedicated instructor , and he strives to make sure you understand the content if his course beyond what is required for similar courses at university. His teaching style is very intuitive, and he explained concerns I had that I was not able to formulate due to some gaps in my knowledge.
Besides his mastery of the subject, he also was very helpful when I had questions, and was able to guide me towards additional resources that aided my understanding. Thanks Mike!
Excellent course great combination of knowledge and teaching skills.
This course is very useful if you already have a theoretical understanding of Fourier transforms and want to learn how to use them in practice, particularly in MATLAB.
The speaker is good at explaining, and what he demonstrates is interesting; however, in my opinion, the course presentation is misleading because it doesn't provide a sufficiently clear explanation of the transforms or the concepts before moving on to the code tests.
If you intend to use the course to fill in academic gaps, I would not recommend it; otherwise, it's a good course.
Numerous illustrations for concepts under study. Crisp and clear dialogue. Experienced teacher. He made almost all the material to appear to be just one simple concept stacked on another simple concept. It's so easy to learn about Fourier transforms with all the tools available now and a teacher that is both proficient in the material, the tools, and teaching in general.
Well, I just started. But as a 3rd year engineering student, I can already tell it's a great course.
Great course with clear explanations and demonstrations. However, in my opinion, it could benefit from including more equations.
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Chhuon T.
The instructor made the concept very easy to understand. Particularly, the non-technical aspect of the Fourier Series. He broke it down so that it look and feel simple.