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  2. Gain (electronics) - Wikipedia

    en.wikipedia.org/wiki/Gain_(electronics)

    The power gain can be calculated using voltage instead of power using Joule's first law = /; the formula is: = ⁡ . In many cases, the input impedance and output impedance are equal, so the above equation can be simplified to:

  3. Quantization (signal processing) - Wikipedia

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

    The set of possible output values may be finite or countably infinite. [6] The input and output sets involved in quantization can be defined in a rather general way. For example, vector quantization is the application of quantization to multi-dimensional (vector-valued) input data. [7]

  4. Calculator input methods - Wikipedia

    en.wikipedia.org/wiki/Calculator_input_methods

    This printing calculator made by Sharp uses ten-key notation. Notice the size and placement of the keys, including the extra-large "+/=" and the red "-/=" keys. The ten-key notation input method first became popular with accountants' paper tape adding machines. It generally makes the assumption that entered numbers are being summed, although ...

  5. Mason's gain formula - Wikipedia

    en.wikipedia.org/wiki/Mason's_gain_formula

    MGF is an alternate method to finding the transfer function algebraically by labeling each signal, writing down the equation for how that signal depends on other signals, and then solving the multiple equations for the output signal in terms of the input signal. MGF provides a step by step method to obtain the transfer function from a SFG.

  6. Input impedance - Wikipedia

    en.wikipedia.org/wiki/Input_impedance

    For a circuit to be modelled with an ideal source, output impedance, and input impedance; the circuit's input reactance can be sized to be the negative of the output reactance at the source. In this scenario, the reactive component of the input impedance cancels the reactive component of the output impedance at the source.

  7. Backpropagation - Wikipedia

    en.wikipedia.org/wiki/Backpropagation

    Backpropagation computes the gradient of a loss function with respect to the weights of the network for a single input–output example, and does so efficiently, computing the gradient one layer at a time, iterating backward from the last layer to avoid redundant calculations of intermediate terms in the chain rule; this can be derived through ...

  8. Enumeration algorithm - Wikipedia

    en.wikipedia.org/wiki/Enumeration_algorithm

    A very general such class is EnumP, [1] the class of problems for which the correctness of a possible output can be checked in polynomial time in the input and output. Formally, for such a problem, there must exist an algorithm A which takes as input the problem input x , the candidate output y , and solves the decision problem of whether y is ...

  9. Voltage divider - Wikipedia

    en.wikipedia.org/wiki/Voltage_divider

    The input voltage is applied across the series impedances Z 1 and Z 2 and the output is the voltage across Z 2. Z 1 and Z 2 may be composed of any combination of elements such as resistors, inductors and capacitors. If the current in the output wire is zero then the relationship between the input voltage, V in, and the output voltage, V out, is: