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8, 2013 [March. 10, 2013]. | 8, 2013 [March. 10, 2013]. | ||
[[Category:Fourier series]] | [[Category:Fourier series]] | ||
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'''2.Fourier series''' | '''2.Fourier series''' | ||
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| − | The input x(t) is a function with a fundamental period x(t)= 1 from x= 0 to 1 and f(x)= -1 to 0, with a discontinuity at x=0. | + | The input x(t) is a function with a fundamental period x(t)= 1 from x= 0 to 1 and f(x)= -1 from x= -1 to 0, with a discontinuity at x=0. |
The following graphs from matlab represents Gibbs phenomena, as n increases the overshot decreases. | The following graphs from matlab represents Gibbs phenomena, as n increases the overshot decreases. | ||
Latest revision as of 10:34, 11 March 2013
1.Impulse response
Joseph Fourier first represented Fourier integral theorem in the following DOE:
[1]
Which is then introduced into the first delta function as following:
[1]
And the end end up with what mathematicians called Dirac delta function:
[1]
[1] “Dirac delta function. Internet: http://en.wikipedia.org/wiki/Dirac_delta_function, March.
8, 2013 [March. 10, 2013].
2.Fourier series
The input x(t) is a function with a fundamental period x(t)= 1 from x= 0 to 1 and f(x)= -1 from x= -1 to 0, with a discontinuity at x=0. The following graphs from matlab represents Gibbs phenomena, as n increases the overshot decreases.
3.Filters
The upper is the Gaussian filter, while bottom is the unsharp.
