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Nonlinear transformations are applied to (i) transform the input space, (ii) transform the output space and (iii) transform both input and output spaces.
A bionic model is presented here to mimic neuron populations to transform the input signal into neural pulse signal.
There are many types of mathematical models that can be used to transform the input data into corresponding output data.
To transform the input variables according to the mesh size, the explicit form of the force matrix is derived based on finite element theory.
In other words, the experience of analysts and designers is necessary to manually transform the input goal-oriented models into system models for code generation (models compilation).
At each time step, a short time fourier transform (STFT) is employed to transform the input sound wave into its frequency counterpart.
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The approach enables one to transform the input-delay system into a delay-free system, but retain the system dimensions unchanged in the state transformation.
We transform the input-output relationship of F-MAC in (1) by appropriate scaling: begin{array}{*{20}l} Y t)&=sumlimits_{i=1}^{K}widehat{H}_{i}(t X_{i}(t)+eta_{b}(t), end{array} (2).
The Provider Services transform the inputted information to data that can be inserted in the ontology.
The filter, which transforms the input signal into the output is given by (2).
This transforms the input space to discover the common invariant latent feature space.
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