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  2. Fourier transform - Wikipedia

    en.wikipedia.org/wiki/Fourier_transform

    An example application of the Fourier transform is determining the constituent pitches in a musical waveform.This image is the result of applying a constant-Q transform (a Fourier-related transform) to the waveform of a C major piano chord.

  3. Fourier analysis - Wikipedia

    en.wikipedia.org/wiki/Fourier_analysis

    Fourier transform of bass guitar time signal of open string A note (55 Hz). ... is known as Fourier synthesis. For example, ... In signal processing, the Fourier ...

  4. List of Fourier-related transforms - Wikipedia

    en.wikipedia.org/wiki/List_of_Fourier-related...

    Fourier transform, with special cases: Fourier series. When the input function/waveform is periodic, the Fourier transform output is a Dirac comb function, modulated by a discrete sequence of finite-valued coefficients that are complex-valued in general. These are called Fourier series coefficients. The term Fourier series actually refers to ...

  5. Discrete Fourier transform - Wikipedia

    en.wikipedia.org/wiki/Discrete_Fourier_transform

    The field of digital signal processing relies heavily on operations in the frequency domain (i.e. on the Fourier transform). For example, several lossy image and sound compression methods employ the discrete Fourier transform: the signal is cut into short segments, each is transformed, and then the Fourier coefficients of high frequencies ...

  6. Fast Fourier transform - Wikipedia

    en.wikipedia.org/wiki/Fast_Fourier_transform

    A fast Fourier transform (FFT) is an algorithm that computes the Discrete Fourier Transform (DFT) of a sequence, or its inverse (IDFT). A Fourier transform converts a signal from its original domain (often time or space) to a representation in the frequency domain and vice versa.

  7. Nyquist–Shannon sampling theorem - Wikipedia

    en.wikipedia.org/wiki/Nyquist–Shannon_sampling...

    Example of magnitude of the Fourier transform of a bandlimited function. The Nyquist–Shannon sampling theorem is a theorem in the field of signal processing which serves as a fundamental bridge between continuous-time signals and discrete-time signals.

  8. Analog signal processing - Wikipedia

    en.wikipedia.org/wiki/Analog_signal_processing

    Usually the Fourier transform integral isn't used to determine the transform; instead, a table of transform pairs is used to find the Fourier transform of a signal or system. The inverse Fourier transform is used to go from frequency domain to time domain: = Each signal or system that can be transformed has a unique Fourier transform.

  9. Signal processing - Wikipedia

    en.wikipedia.org/wiki/Signal_processing

    Signal processing is an electrical engineering ... are the fast Fourier transform ... are widely used in signal processing applications. For example, ...