Mike X Cohen
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.
Instructor Details
Courses : 5
Specification: Signal processing problems, solved in MATLAB and in Python
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18 reviews for Signal processing problems, solved in MATLAB and in Python
Add a review
| Price | $15.99 |
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| Provider | |
| Duration | 12.5 hours |
| Year | 2022 |
| Level | Beginner |
| Language | English |
| Certificate | Yes |
| Quizzes | No |
$15.99
Joseph Cannella –
Fascinating, interesting information explained extremely well! Great visualizations of information, making what seemed very difficult feel almost obvious.
Delta –
Concrete, precise, and well organized. You’ll get a lot’s of learning experience as you journey through signal processing
David Pfeifer –
Excellent course to learn the fundamentals of Signal Processing by visualizing in MATLAB. I graduated from college a long time ago, and I wish there was a course like this back then.
Lloyd –
Good so far.
Chinonso Ezeobi –
This is my second course with Mike. His delivery is always on point
Arthur Swanson –
Really excited to apply these concepts to current work problems
Sandro Restuccia –
I do believe that the course material is good and easy to follow. Technical concept are properly explained with proper echnical language and practical examples.
Anil Kumar –
More content and good explanation
Anubhav Jhalani –
I have enrolled on many DSP courses but all of those disappointed me. This is the Best course on DSP I have seen so far. No complicated DSP Mathematics Shown how and where to apply DSP algorithm and all good practices are explained. Instructors voice is clear and engaging. The instructor is very responsive to the queries. Code challenges are really good.
Luis Fernando S nchez G mez –
Muy buen curso
Shubhranil Chakraborty –
Great course with crystal clear explanation.
Timur Bikmukhametov –
Great course
Sb –
easy to follow
Gerhard Kling –
So far so good.
Yifu Yan –
Really helpful!
Robert Haupin –
One of the best tutorials I have used. Mike really knows how to break down concepts in easy to understand formats.
Silvio Augusto –
The course is provided in a clearly and the topics are demonstrated thoroughly.
Abdullah Hafiz –
Mike X Cohen is an excellent instructor. I will probably end up taking all his courses.