Difference between revisions of "Talk:Video/The imaginary number i and the Fourier Transform"
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=Trigonometry= | =Trigonometry= | ||
Fourier Transform and the notion of <math>i</math> (imaginary number), cannot be separated from [[Trigonometry]]<ref>{{:Book/Divine Proportions}}</ref>. | Fourier Transform and the notion of <math>i</math> ([[imaginary number]]), cannot be separated from [[Trigonometry]]<ref>{{:Book/Divine Proportions}}</ref>. | ||
=Fourier Series= | =Fourier Series= | ||
There are functions that are hard to work with, for example, discontinuous and fractal functions. On the other hand, there are functions that have wonderful properties for example sin, cos, and the linear function. In the Fourier series, we can use functions with wonderful properties to approximate functions that are hard to work with, for example, we use sin and cos to approximate fractal functions. Moreover, we can also approximate the functions by adding up functions together and the Fourier series will tell us what coefficient to use in our combination. However, you can only approximate a function on an interval. | There are functions that are hard to work with, for example, discontinuous and fractal functions. On the other hand, there are functions that have wonderful properties for example sin, cos, and the linear function. In the Fourier series, we can use functions with wonderful properties to approximate functions that are hard to work with, for example, we use sin and cos to approximate fractal functions. Moreover, we can also approximate the functions by adding up functions together and the Fourier series will tell us what coefficient to use in our combination. However, you can only approximate a function on an interval. |
Revision as of 03:05, 28 July 2022
Trigonometry
Fourier Transform and the notion of (imaginary number), cannot be separated from Trigonometry[1].
Fourier Series
There are functions that are hard to work with, for example, discontinuous and fractal functions. On the other hand, there are functions that have wonderful properties for example sin, cos, and the linear function. In the Fourier series, we can use functions with wonderful properties to approximate functions that are hard to work with, for example, we use sin and cos to approximate fractal functions. Moreover, we can also approximate the functions by adding up functions together and the Fourier series will tell us what coefficient to use in our combination. However, you can only approximate a function on an interval.
Fourier transform
Fourier transform is the next level of the Fourier Series. Fourier transform comes up with a way to approximate functions on the hole real line by using exponentials.
Fourier transforms integral equation :
Example for Fourier transform: We have a signal called in time we will represent it in terms of the time domain. We also can represent it in another way which is called we will represent it in terms of the frequency domain and This is why we called transformation. Fourier Transform is an equivalent representation of the signal.
Convolution equation :
Fourier Series in human body
Find references and put it here.
Possible Works to be done for this page
- What did you learn from the video?
- What are the links of Fourier Transform with Sine/Cosine, and Exponential?
- What other sources related to Sine/Cosine/Exponent and Fourier Transform you have found and what are their Links?
- Does it relate to Polynomials, Infinite Series, and the eventual implementation of Fast Fourier Transform?
- What did you learn that changed the views about certain beliefs that you hold before watching this video?
- Who can you ask to learn more about what you wish to know.
- Can you ask other people, such as your English teacher to look for help in documenting your observations and thoughts?
- Since Fourier Transform relates to adding many waves together, What kind of arithmetic does Fourier Transform can do? How does it relate to numerical arithmetic, or how does the arithmetics of waves differ from the arithmetics of numbers?
--Benkoo (talk) 03:04, 28 July 2022 (UTC)
References
- ↑ Wildberger, Norman J. (2005). DIVINE PROPORTIONS : Rational Trigonometry to Universal Geometry. local page: Wild Egg Books. ISBN 0-9757492-0-X.
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