Master the Fourier transform and its applications

Name: Master the Fourier transform and its applications
Brand: Udemy
SKU: 44514
Price: 10.99 USD
Availability: InStock

$10.99Track price

Mike X Cohen 54 Computer Science Udemy

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Reviews (7)

8.6/10 (Our Score)

Product is rated as #46 in category Computer Science

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

Instructor Details

Mike X CohenNeuroscientist, writer, professor

Votes: 0

Courses : 5

I am a neuroscientist (brain scientist) and associate professor at the Radboud University in the Netherlands. I have an active research lab that has been funded by the US, German, and Dutch governments, European Union, hospitals, and private organizations. But you're here because of my teaching, so let me tell you about that: I have almost 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 teach in raditional university courses, special week-long intensive courses, and Nobel prize-winning research labs. I have >50 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 (look them up on amazon!) 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 nearly two decades refining and perfecting his teaching style. Over 45,000 students have watched over 4,000,000 minutes of my courses (that's nearly 8 years of continuous learning). Come find out why! I look forward to seeing you soon in one (or more) of my courses. - By popular request, here are suggested course progressions for various educational goals: Programming: MATLAB onramp, Master MATLAB, Image Processing // OR Master Math by Coding in Python Applied linear algebra: Complete Linear Algebra, Dimension Reduction Signal processing: Understand the Fourier Transform, Generate and visualize data, Signal Processing, Neural signal processing

Specification: Master the Fourier transform and its applications

Duration	6 hours
Year	2020
Level	All
Certificate	Yes
Quizzes	No

7 reviews for Master the Fourier transform and its applications

4.7 out of 5

★★★★★

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★★★★★
Bernard Drew – January 10, 2020
Excellent teacher and course!
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★★★★★
Renu – January 16, 2020
Thanks. This course is quite knowledgeable and helped me in clarifying many important points of FFT.
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★★★★★
Liga Gaile – January 21, 2020
I loved the course and definitely will take the next course about problems in signal processing. Thanks!
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★★★★★
Carter Sturm – January 23, 2020
This course accomplishes more than just teaching how to use the Fourier transform as a tool. It is the clearest explanation of the concept that I have ever seen and it helped me to finally wrap my mind around it. This course was time well spent and I highly recommend it to others.
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★★★★★
Jose Guzman – January 30, 2020
I only had a vague idea about Fourier transforms when I started, and now I understand the logic behind it and perform Fourier analysis on my data and recordings. The course deserves its bestseller status, for it has everything you need to learn with success; 1) it starts and ends with key points, 2) has a written summary of every section, and 3) provides numerous scripts to play around with Python and Matlab. After reading many books and tutorials on the topic, I would recommend this course to anyone willing to apply Fourier transform with a moderate effort (it took me 2 weeks to resolve all exercises). The course completely exceeded my expectations, and I will soon enroll in signal processing from the same author to get a deeper understanding of other analysis methods.
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★★★★★
Juan Carlos Chorro Collantes – February 9, 2020
A very good introductory course, absolutely recommended.
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★★★★★
Hani Sadek – February 13, 2020
So far it is good
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