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  2. Time–frequency analysis - Wikipedia

    en.wikipedia.org/wiki/Timefrequency_analysis

    In signal processing, time–frequency analysis comprises those techniques that study a signal in both the time and frequency domains simultaneously, using various time–frequency representations. Rather than viewing a 1-dimensional signal (a function, real or complex-valued, whose domain is the real line) and some transform (another function ...

  3. Frequency domain - Wikipedia

    en.wikipedia.org/wiki/Frequency_domain

    The inverse Fourier transform converts the frequency-domain function back to the time-domain function. A spectrum analyzer is a tool commonly used to visualize electronic signals in the frequency domain. A frequency-domain representation may describe either a static function or a particular time period of a dynamic function (signal or system).

  4. Fourier transform - Wikipedia

    en.wikipedia.org/wiki/Fourier_transform

    The component frequencies, extended for the whole frequency spectrum, are shown as peaks in the domain of the frequency. Functions that are localized in the time domain have Fourier transforms that are spread out across the frequency domain and vice versa, a phenomenon known as the uncertainty principle.

  5. Time domain - Wikipedia

    en.wikipedia.org/wiki/Time_domain

    In the time domain, the signal or function's value is known for all real numbers, for the case of continuous time, or at various separate instants in the case of discrete time. An oscilloscope is a tool commonly used to visualize real-world signals in the time domain. A time-domain graph shows how a signal changes with time, whereas a frequency ...

  6. Fast Fourier transform - Wikipedia

    en.wikipedia.org/wiki/Fast_Fourier_transform

    A Fourier transform converts a signal from its original domain (often time or space) to a representation in the frequency domain and vice versa. The DFT is obtained by decomposing a sequence of values into components of different frequencies. [1]

  7. Blackman–Tukey transformation - Wikipedia

    en.wikipedia.org/wiki/Blackman–Tukey...

    The Blackman–Tukey transformation (or Blackman–Tukey method) is a digital signal processing method to transform data from the time domain to the frequency domain.It was originally programmed around 1953 by James Cooley for John Tukey at John von Neumann's Institute for Advanced Study as a way to get "good smoothed statistical estimates of power spectra without requiring large Fourier ...

  8. Cepstrum - Wikipedia

    en.wikipedia.org/wiki/Cepstrum

    transformation of a signal from the time domain to the frequency domain; computation of the logarithm of the spectral amplitude; transformation to frequency domain, where the final independent variable, the quefrency, has a time scale. [1] [2] [3]

  9. Chirp spectrum - Wikipedia

    en.wikipedia.org/wiki/Chirp_spectrum

    The spectrum of a chirp pulse describes its characteristics in terms of its frequency components. This frequency-domain representation is an alternative to the more familiar time-domain waveform, and the two versions are mathematically related by the Fourier transform.