Francois Marelli committed Feb 16, 2018 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 Welcome to Neural Filters’s documentation! ****************************************** NeuralFilter1P ============== This module implements a trainable all-pole first order filter using pyTorch Copyright (c) 2018 Idiap Research Institute, http://www.idiap.ch/ Written by Francois Marelli This file is part of neural_filters. neural_filters is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License version 3 as published by the Free Software Foundation. neural_filters is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with neural_filters. If not, see . class NeuralFilter1P.NeuralFilter1P(input_size, hidden_size) A trainable first-order all-pole filter \frac{K}{1 - P z^{-1}} * **input_size** (int) - the size of the input vector * **hidden_size** (int) - the size of the output vector Indices and tables ****************** * Index * Search Page