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  2. Integral nonlinearity - Wikipedia

    en.wikipedia.org/wiki/Integral_nonlinearity

    In DACs, it is a measure of the deviation between the ideal output value and the actual measured output value for a certain input code. In ADCs, it is the deviation between the ideal input threshold value and the measured threshold level of a certain output code. This measurement is performed after offset and gain errors have been compensated. [1]

  3. Differential nonlinearity - Wikipedia

    en.wikipedia.org/wiki/Differential_nonlinearity

    Differential nonlinearity (acronym DNL) is a commonly used measure of performance in digital-to-analog (DAC) and analog-to-digital (ADC) converters. It is a term describing the deviation between two analog values corresponding to adjacent input digital values.

  4. Surrogate data testing - Wikipedia

    en.wikipedia.org/wiki/Surrogate_data_testing

    Surrogate data testing [1] (or the method of surrogate data) is a statistical proof by contradiction technique similar to permutation tests [2] and parametric bootstrapping.It is used to detect non-linearity in a time series. [3]

  5. Quantization (signal processing) - Wikipedia

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

    Because quantization is a many-to-few mapping, it is an inherently non-linear and irreversible process (i.e., because the same output value is shared by multiple input values, it is impossible, in general, to recover the exact input value when given only the output value).

  6. Nonlinear control - Wikipedia

    en.wikipedia.org/wiki/Nonlinear_control

    Even if the plant is linear, a nonlinear controller can often have attractive features such as simpler implementation, faster speed, more accuracy, or reduced control energy, which justify the more difficult design procedure. An example of a nonlinear control system is a thermostat-controlled heating system. A building heating system such as a ...

  7. Data validation and reconciliation - Wikipedia

    en.wikipedia.org/wiki/Data_validation_and...

    Data reconciliation is a technique that targets at correcting measurement errors that are due to measurement noise, i.e. random errors.From a statistical point of view the main assumption is that no systematic errors exist in the set of measurements, since they may bias the reconciliation results and reduce the robustness of the reconciliation.

  8. Group delay and phase delay - Wikipedia

    en.wikipedia.org/wiki/Group_delay_and_phase_delay

    The group delay and phase delay properties of a linear time-invariant (LTI) system are functions of frequency, giving the time from when a frequency component of a time varying physical quantity—for example a voltage signal—appears at the LTI system input, to the time when a copy of that same frequency component—perhaps of a different physical phenomenon—appears at the LTI system output.

  9. imc FAMOS - Wikipedia

    en.wikipedia.org/wiki/Imc_FAMOS

    FAMOS (short for fast analysis and monitoring of signals) is a graphical data analysis program for image analysis, evaluating and visually displaying measurement results. The program was introduced in 1987 by the German company imc Test & Measurement GmbH (integrated measurement & control) in Berlin for Windows 3.11. According to its ...