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About Chapter 7
The document discusses the Fourier transform, which converts a time-domain signal into a frequency-domain signal. The Fourier transform decomposes a signal into sinusoids of different frequencies. It is defined by a specific mathematical formula. The discrete Fourier transform (DFT) is used for discrete, finite signals and can be computed efficiently using the fast Fourier transform (FFT) algorithm. For a DFT to accurately represent a function, the original function must be sampled at least twice the highest frequency in the signal, as defined by the Nyquist-Shannon sampling theorem. The power spectrum contains the squared magnitudes of the Fourier transform and represents the signal's power at each frequency. Basic Fourier transform pairs and theorems relate shifted, added and
Detailed Information
| Author: | ['Aldon Jimenez'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 8 |
| Language: | English |
| Format: | |
| Price: | FREE |
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