HIGHLIGHTS
- who: Francesco Centurelli et al. from the Department of Information, Electronics and Telecommunications Engineering, Sapienza University, Roma, Italy have published the paper: Methods for Model Complexity Reduction for the Nonlinear Calibration of Amplifiers Using Volterra Kernels, in the Journal: Electronics 2022, 3067 of /2022/
- what: The authors propose the OBS technique used in the neural network field in conjunction with the better known DOMP technique to prune the model with the best accuracy. All these pruning techniques result in different trade-offs between complexity reduction and loss of precision, and one of the goals of . . .
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