Introduction to the Discrete Fourier Transform(Python)(FREE)

Introduction to the Discrete Fourier Transform(Python)(FREE), available at Free, has an average rating of 4.2, with 6 lectures, based on 122 reviews, and has 7061 subscribers.

You will learn about understand the math behind the Discrete Fourier Transform(DFT), one of the most useful formulas in applied math and computer science. gain a deeper appreciation for the DFT by applying it to simple applications using Python be able to mathematically and programmatically determine note/chord of a sound file using the DFT in Python understand the basics of digital audio be able to filter out noise from a sound file using Python be able to understand the basics of sound compression and filtering understand the difference between time domains vs. frequency domains of digital signals implement your own version of the Discrete Fourier Transform in Python and compare it to the efficient Fast Fourier Transform understand why the DFT works understand the DFT from the geometric viewpoint via the inner product be able to programmatically play sounds from .txt and .wav files understand the basics of sounds, music theory, physics of sounds This course is ideal for individuals who are anyone who wishes to understand the Discrete Fourier Transform and its applications or anyone who wishes to understand a beautiful concept that lies at the intersection of math and music or anyone who wishes to see a powerful and interesting application of Python and Numpy. It is particularly useful for anyone who wishes to understand the Discrete Fourier Transform and its applications or anyone who wishes to understand a beautiful concept that lies at the intersection of math and music or anyone who wishes to see a powerful and interesting application of Python and Numpy.

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Summary

Title: Introduction to the Discrete Fourier Transform(Python)(FREE)

Price: Free

Average Rating: 4.2

Number of Lectures: 6

Number of Published Lectures: 5

Number of Curriculum Items: 6

Number of Published Curriculum Objects: 5

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

• understand the math behind the Discrete Fourier Transform(DFT), one of the most useful formulas in applied math and computer science.
• gain a deeper appreciation for the DFT by applying it to simple applications using Python
• be able to mathematically and programmatically determine note/chord of a sound file using the DFT in Python
• understand the basics of digital audio
• be able to filter out noise from a sound file using Python
• be able to understand the basics of sound compression and filtering
• understand the difference between time domains vs. frequency domains of digital signals
• implement your own version of the Discrete Fourier Transform in Python and compare it to the efficient Fast Fourier Transform
• understand why the DFT works
• understand the DFT from the geometric viewpoint via the inner product
• be able to programmatically play sounds from .txt and .wav files
• understand the basics of sounds, music theory, physics of sounds

Who Should Attend

• anyone who wishes to understand the Discrete Fourier Transform and its applications
• anyone who wishes to understand a beautiful concept that lies at the intersection of math and music
• anyone who wishes to see a powerful and interesting application of Python and Numpy.

Target Audiences

• anyone who wishes to understand the Discrete Fourier Transform and its applications
• anyone who wishes to understand a beautiful concept that lies at the intersection of math and music
• anyone who wishes to see a powerful and interesting application of Python and Numpy.