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  2. Hjorth parameters - Wikipedia

    en.wikipedia.org/wiki/Hjorth_parameters

    Hjorth parameters are indicators of statistical properties used in signal processing in the time domain introduced by Bo Hjorth in 1970. [1] The parameters are Activity, Mobility, and Complexity. They are commonly used in the analysis of electroencephalography signals for feature extraction. The parameters are normalised slope descriptors (NSDs ...

  3. Spike-triggered average - Wikipedia

    en.wikipedia.org/wiki/Spike-triggered_average

    [9] [10] It can be used to estimate the linear stage of the linear-nonlinear-Poisson (LNP) cascade model. [4] The approach has also been used to analyze how transcription factor dynamics control gene regulation within individual cells. [11] Spike-triggered averaging is also commonly referred to as reverse correlation or white-noise analysis.

  4. Exponentially modified Gaussian distribution - Wikipedia

    en.wikipedia.org/wiki/Exponentially_modified...

    In probability theory, an exponentially modified Gaussian distribution (EMG, also known as exGaussian distribution) describes the sum of independent normal and exponential random variables. An exGaussian random variable Z may be expressed as Z = X + Y , where X and Y are independent, X is Gaussian with mean μ and variance σ 2 , and Y is ...

  5. EEG analysis - Wikipedia

    en.wikipedia.org/wiki/EEG_analysis

    EEG analysis is exploiting mathematical signal analysis methods and computer technology to extract information from electroencephalography (EEG) signals. The targets of EEG analysis are to help researchers gain a better understanding of the brain; assist physicians in diagnosis and treatment choices; and to boost brain-computer interface (BCI) technology.

  6. Time–frequency analysis - Wikipedia

    en.wikipedia.org/wiki/Time–frequency_analysis

    In signal processing, time–frequency analysis [3] is a body of techniques and methods used for characterizing and manipulating signals whose statistics vary in time, such as transient signals. It is a generalization and refinement of Fourier analysis, for the case when the signal frequency characteristics are varying with time. Since many ...

  7. Cepstrum - Wikipedia

    en.wikipedia.org/wiki/Cepstrum

    The cepstrum is a representation used in homomorphic signal processing, to convert signals combined by convolution (such as a source and filter) into sums of their cepstra, for linear separation. In particular, the power cepstrum is often used as a feature vector for representing the human voice and musical signals.

  8. Electromyography - Wikipedia

    en.wikipedia.org/wiki/Electromyography

    Rectification is the translation of the raw EMG signal to a signal with a single polarity, usually positive. The purpose of rectifying the signal is to ensure the signal does not average to zero, due to the raw EMG signal having positive and negative components. Two types of rectification are used: full-wave and half-wave rectification. [27]

  9. Order tracking (signal processing) - Wikipedia

    en.wikipedia.org/wiki/Order_tracking_(signal...

    In rotordynamics, order tracking is a family of signal processing tools aimed at transforming a measured signal from time domain to angular (or order) domain. These techniques are applied to asynchronously sampled signals (i.e. with a constant sample rate in Hertz) to obtain the same signal sampled at constant angular increments of a reference shaft.