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  2. Mixed-data sampling - Wikipedia

    en.wikipedia.org/wiki/Mixed-data_sampling

    The MIDAS can also be used for machine learning time series and panel data nowcasting. [6] [7] The machine learning MIDAS regressions involve Legendre polynomials.High-dimensional mixed frequency time series regressions involve certain data structures that once taken into account should improve the performance of unrestricted estimators in small samples.

  3. Prony's method - Wikipedia

    en.wikipedia.org/wiki/Prony's_method

    Let () be a signal consisting of evenly spaced samples. Prony's method fits a function ^ = = ⁡ (+) to the observed ().After some manipulation utilizing Euler's formula, the following result is obtained, which allows more direct computation of terms:

  4. Estimation of signal parameters via rotational invariance ...

    en.wikipedia.org/wiki/Estimation_of_signal...

    Example of separation into subarrays (2D ESPRIT) Estimation of signal parameters via rotational invariant techniques (ESPRIT), is a technique to determine the parameters of a mixture of sinusoids in background noise.

  5. Pitch detection algorithm - Wikipedia

    en.wikipedia.org/wiki/Pitch_detection_algorithm

    Frequency domain, polyphonic detection is possible, usually utilizing the periodogram to convert the signal to an estimate of the frequency spectrum [4].This requires more processing power as the desired accuracy increases, although the well-known efficiency of the FFT, a key part of the periodogram algorithm, makes it suitably efficient for many purposes.

  6. Frequency (statistics) - Wikipedia

    en.wikipedia.org/wiki/Frequency_(statistics)

    The cumulative frequency is the total of the absolute frequencies of all events at or below a certain point in an ordered list of events. [ 1 ] : 17–19 The relative frequency (or empirical probability ) of an event is the absolute frequency normalized by the total number of events:

  7. Filter (signal processing) - Wikipedia

    en.wikipedia.org/wiki/Filter_(signal_processing)

    The frequency response can be classified into a number of different bandforms describing which frequency bands the filter passes (the passband) and which it rejects (the stopband): Low-pass filter – low frequencies are passed, high frequencies are attenuated. High-pass filter – high frequencies are passed, low frequencies are attenuated.

  8. 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.

  9. Letter frequency - Wikipedia

    en.wikipedia.org/wiki/Letter_frequency

    The California Job Case was a compartmentalized box for printing in the 19th century, sizes corresponding to the commonality of letters. The frequency of letters in text has been studied for use in cryptanalysis, and frequency analysis in particular, dating back to the Arab mathematician al-Kindi (c. AD 801–873 ), who formally developed the method (the ciphers breakable by this technique go ...