[PDF] dft examples and solutions

What are the applications of DFT?

Radio waves can be filtered to avoid "noise" and listen to the important components of the signal. Other applications of the DFT arise because it can be computed very efficiently by the fast Fourier transform (FFT) algorithm.

How do you calculate DFT?

Discrete Fourier Transform (DFT) ? x(n)e ?j?n. Any signal in any DSP application can be measured only in a finite number of points. points. Sample the spectrum X (?) in frequency so that DFT. . = x(n). synthesis. X = X (k)W ?kn. N ?1 !

How does a DFT solve a Nite length problem?

The DFT solves this problem by assuming a nite length signal. N equations in N unknowns:" if there are N samples in the time domain (x[n]; 0 n N 1), then there are only N independent samples in the frequency domain (X(! k); 0 k N 1).

What are the different types of DFT errors?

There are two main types of DFT errors: aliasing and “leakage”: This is another manifestation of the phenomenon which we have now encountered several times. If the initial samples are not sufficiently closely spaced to represent high-frequency components present in the underlying function, then the DFT val- ues will be corrupted by aliasing.

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