Signal Processing
Signal Processing
Signal Processing
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Transform theory<br />
The Parseval’s relations for Discrete-Time Fourier transforms<br />
∞∑<br />
n=−∞<br />
∞∑<br />
n=−∞<br />
x ny ∗ n = ∫ 1/2<br />
−1/2<br />
˜X(ν)Ỹ ∗ (ν) dν<br />
∫ 1/2<br />
|x n| 2 = | ˜X(ν)| 2 dν<br />
−1/2<br />
Proof: Employ the orthogonality relationship of the basis functions<br />
∞∑<br />
e i2π(ν−ν′ )n = ˜δ(ν − ν ′ ) mod 1<br />
n=−∞<br />
We have<br />
∞∑<br />
x nyn ∗ =<br />
∞∑<br />
∫ 1/2<br />
∫ 1/2<br />
˜X(ν)e i2πνn dν Ỹ ∗ (ν ′ )e −i2πν′n dν ′<br />
n=−∞<br />
n=−∞ −1/2<br />
−1/2<br />
∫ 1/2 ∫ 1/2<br />
=<br />
˜X(ν)Ỹ ∗ (ν ′ )<br />
∞∑<br />
e i2π(ν−ν′ )n dν dν ′<br />
−1/2 −1/2<br />
n=−∞<br />
∫ 1/2 ∫ 1/2<br />
∫ 1/2<br />
=<br />
˜X(ν)Ỹ ∗ (ν ′ )˜δ(ν − ν ′ ) dν ′ dν = ˜X(ν)Ỹ ∗ (ν) dν<br />
−1/2 −1/2<br />
−1/2<br />
Sven Nordebo, School of Computer Science, Physics and Mathematics, Linnæus University, Sweden. 14(28)