Introduction to Digital Signal and System Analysis - Tutorsindia
Introduction to Digital Signal and System Analysis - Tutorsindia
Introduction to Digital Signal and System Analysis - Tutorsindia
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<strong>Introduction</strong> <strong>to</strong> <strong>Digital</strong> <strong>Signal</strong> <strong>and</strong> <strong>System</strong> <strong>Analysis</strong><br />
Discrete Fourier Transform<br />
In the following Figure 6.2, the difference between the DFT <strong>and</strong> discrete version of FT are compared. The upper left is a<br />
non-periodic signal with N samples in 0 ≤ n ≤ N −1<br />
in which zeros are given <strong>to</strong> all outside the N records. The upper<br />
right is its discrete version of Fourier transform which is a continuous function. The lower left is the signal in which the<br />
N samples are regarded as one period <strong>and</strong> the record has been extended <strong>to</strong> the whole axis − ∞ < n < ∞ . Therefore, like<br />
Fourier series, its periodic discrete spectrum is shown in the lower right figure.<br />
x([n]<br />
x([n]<br />
1<br />
0.5<br />
0<br />
-0.5<br />
-1<br />
1<br />
0.5<br />
0<br />
-0.5<br />
-1<br />
-5 0 5 10 15<br />
n<br />
one period<br />
-5 0 5 10 15<br />
n<br />
|X(Ω)|<br />
|X[k]|<br />
5<br />
4<br />
3<br />
2<br />
1<br />
one period<br />
FT<br />
0<br />
0 5 10 15<br />
0 ≤ Ω ≤ 6π<br />
DFT<br />
5<br />
4<br />
3<br />
2<br />
1<br />
one period<br />
0<br />
0 5 10 15 20<br />
k<br />
Figure 6.2 The discrete version of FT for a non-periodic signal <strong>and</strong> DFT for a periodic signal.<br />
In essence, applying the DFT is <strong>to</strong> decompose a periodic signal <strong>to</strong> a series of cosine <strong>and</strong> sine functions represented by<br />
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