Fourier Transform - Revision history

Lisa at 00:43, 27 April 2014

2014-04-27T00:43:03Z

← Older revision		Revision as of 20:43, 26 April 2014
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	The Fourier Transform is a tool that breaks a waveform (a function or signal) into an alternate representation, characterized by sine and co-sines. The Fourier Transform shows that any waveform can be re-written in the sum of sine wave functions.The sine wave or sinusoid is a mathematical ~~curvethat~~ describes a smooth repetitive oscillation.		The Fourier Transform is a tool that breaks a waveform (a function or signal) into an alternate representation, characterized by sine and co-sines. The Fourier Transform shows that any waveform can be re-written in the sum of sine wave functions.The sine wave or sinusoid is a mathematical curve that describes a smooth repetitive oscillation.

	Virtually everything in the world can be described via a waveform - a function of time, space or some other variable. For instance, sound waves, electromagnetic fields, the elevation of a hill versus location, a plot of VSWR versus frequency, the price of your favorite stock versus time, etc. The Fourier Transform gives us a unique and powerful way of viewing these waveforms.		Virtually everything in the world can be described via a waveform - a function of time, space or some other variable. For instance, sound waves, electromagnetic fields, the elevation of a hill versus location, a plot of VSWR versus frequency, the price of your favorite stock versus time, etc. The Fourier Transform gives us a unique and powerful way of viewing these waveforms.

Lisa at 00:40, 27 April 2014

2014-04-27T00:40:39Z

← Older revision		Revision as of 20:40, 26 April 2014
Line 2:		Line 2:


	The Fourier Transform is a tool that breaks a waveform (a function or signal) into an alternate representation, characterized by sine and ~~cosines~~. The Fourier Transform shows that any waveform can be re-written as the sum of ~~sinusoidal~~ functions.		The Fourier Transform is a tool that breaks a waveform (a function or signal) into an alternate representation, characterized by sine and co-sines. The Fourier Transform shows that any waveform can be re-written in the sum of sine wave functions.The sine wave or sinusoid is a mathematical curvethat describes a smooth repetitive oscillation.

			Virtually everything in the world can be described via a waveform - a function of time, space or some other variable. For instance, sound waves, electromagnetic fields, the elevation of a hill versus location, a plot of VSWR versus frequency, the price of your favorite stock versus time, etc. The Fourier Transform gives us a unique and powerful way of viewing these waveforms.

			==Reference==

			Wikipedia
			[[http://en.wikipedia.org/wiki/Fourier_transform Fourier Transform]]



			==See Also==

			[[Hologram]]


			Introduction to Fourier Transform [[http://www.thefouriertransform.com/]]



	[[Category: Ascension]]		[[Category: Ascension]]

Lisa: Created page with "The Fourier transform named after Joseph Fourier, is a mathematical transformation employed to transform signals between time (or spatial) domain and frequency domain, which h..."

2014-04-27T00:36:20Z

Created page with "The Fourier transform named after Joseph Fourier, is a mathematical transformation employed to transform signals between time (or spatial) domain and frequency domain, which h..."

New page

The Fourier transform named after Joseph Fourier, is a mathematical transformation employed to transform signals between time (or spatial) domain and frequency domain, which has many applications in physics and engineering. It is reversible, being able to transform from either domain to the other. The term itself refers to both the transform operation and to the function it produces.

The Fourier Transform is a tool that breaks a waveform (a function or signal) into an alternate representation, characterized by sine and cosines. The Fourier Transform shows that any waveform can be re-written as the sum of sinusoidal functions.

[[Category: Ascension]]