0 c • A periodic signal x(t), has a Fourier series if it satisfies the following Train – Cont'd Example: The Rectangular Pulse Train – Cont'd ( 1) / 2 1 1 ( ) ( 1)
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[PDF] Fourier Transform Rectangular Pulse Example : rectangular pulse
Frequency domain If b ≤0, the limit cannot be evaluated If b>0, exp(-bt) → 0 as t approaches infinity ( ) b X ω ω 1 tan - - = ∠ ( ) [ ] 1 1 0 1 X b j b j ω ω ω
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Determine the Fourier transform of a rectangular pulse shown in the following Determine the Fourier transform of the Delta function δ(t) Example 0 ( ) () 1 j t
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Review: Exponential Fourier Series (for Periodic Functions) { } 1 1 0 0 0 0 0 2 Again, 5 sinc(x) is the Fourier transform of a single rectangular pulse sin( )
[PDF] Chapter 4 The Fourier Series and Fourier Transform Chapter 4 The
0 c • A periodic signal x(t), has a Fourier series if it satisfies the following Train – Cont'd Example: The Rectangular Pulse Train – Cont'd ( 1) / 2 1 1 ( ) ( 1)
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At time zero, sinc(0) = 1 (can be proved, but we will not do so here) As x → ± The reason that sinc-function is important is because the Fourier Transform of a
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0 )( 1 )( ) ( )( For a Periodic Signal: 7 Root Mean Square- rms RMS = “root mean square” of a signal of duration We use the Fourier transform to determine the frequencies Figure 2–6 Spectra of rectangular, (sin x)/x, and triangular pulses
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rectangular pulse is rect(t) = { 1 if −1 2
[PDF] Table of Fourier Transform Pairs
1 Table of Fourier Transform Pairs Function, f(t) Fourier Transform, F(w) 1, if t < 1, 0, if t > 1 2 sinc(ω)=2 sin(ω) ω Boxcar in time (6) 1 π sinc(t) β(ω)
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