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  2. Full scale - Wikipedia

    en.wikipedia.org/wiki/Full_scale

    Since binary integer representation range is asymmetrical, full scale is defined using the maximum positive value that can be represented. [1] [2] For example, 16-bit PCM audio is centered on the value 0, and can contain values from −32,768 to +32,767. A signal is at full-scale if it reaches from −32,767 to +32,767.

  3. Propagation of uncertainty - Wikipedia

    en.wikipedia.org/wiki/Propagation_of_uncertainty

    Any non-linear differentiable function, (,), of two variables, and , can be expanded as + +. If we take the variance on both sides and use the formula [11] for the variance of a linear combination of variables ⁡ (+) = ⁡ + ⁡ + ⁡ (,), then we obtain | | + | | +, where is the standard deviation of the function , is the standard deviation of , is the standard deviation of and = is the ...

  4. Mean absolute error - Wikipedia

    en.wikipedia.org/wiki/Mean_absolute_error

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  5. Differential nonlinearity - Wikipedia

    en.wikipedia.org/wiki/Differential_nonlinearity

    Differential non-linearity is a measure of the worst-case deviation from the ideal 1 LSB step. For example, a DAC with a 1.5 LSB output change for a 1 LSB digital code change exhibits 1⁄2 LSB differential non-linearity. Differential non-linearity may be expressed in fractional bits or as a percentage of full scale.

  6. Mean absolute scaled error - Wikipedia

    en.wikipedia.org/wiki/Mean_absolute_scaled_error

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  7. dBFS - Wikipedia

    en.wikipedia.org/wiki/DBFS

    The red lines indicate full scale, and the waveform is shown before and after hard clipping (grey and black outlines respectively). Decibels relative to full scale ( dBFS or dB FS ) is a unit of measurement for amplitude levels in digital systems, such as pulse-code modulation (PCM), which have a defined maximum peak level.

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  9. Mean squared error - Wikipedia

    en.wikipedia.org/wiki/Mean_squared_error

    The MSE either assesses the quality of a predictor (i.e., a function mapping arbitrary inputs to a sample of values of some random variable), or of an estimator (i.e., a mathematical function mapping a sample of data to an estimate of a parameter of the population from which the data is sampled).