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Identity.java
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Thu, Jul 11, 03:07

Identity.java
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/*
* DeconvolutionLab2
*
* Conditions of use: You are free to use this software for research or
* educational purposes. In addition, we expect you to include adequate
* citations and acknowledgments whenever you present or publish results that
* are based on it.
*
* Reference: DeconvolutionLab2: An Open-Source Software for Deconvolution
* Microscopy D. Sage, L. Donati, F. Soulez, D. Fortun, G. Schmit, A. Seitz,
* R. Guiet, C. Vonesch, M Unser, Methods of Elsevier, 2017.
*/
/*
* Copyright 2010-2017 Biomedical Imaging Group at the EPFL.
*
* This file is part of DeconvolutionLab2 (DL2).
*
* DL2 is free software: you can redistribute it and/or modify it under the
* terms of the GNU General Public License as published by the Free Software
* Foundation, either version 3 of the License, or (at your option) any later
* version.
*
* DL2 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
* DL2. If not, see <http://www.gnu.org/licenses/>.
*/
package deconvolution.algorithm;
import java.util.concurrent.Callable;
import signal.RealSignal;
public class Identity extends AbstractAlgorithm implements Callable<RealSignal> {
public Identity() {
super();
}
@Override
public RealSignal call() {
return y.duplicate();
}
@Override
public String getName() {
return "Identity (copy)";
}
@Override
public String[] getShortnames() {
return new String[] {"I"};
}
@Override
public double getMemoryFootprintRatio() {
return 5.0;
}
@Override
public int getComplexityNumberofFFT() {
return 1;
}
@Override
public boolean isRegularized() {
return false;
}
@Override
public boolean isStepControllable() {
return false;
}
@Override
public boolean isIterative() {
return false;
}
@Override
public boolean isWaveletsBased() {
return false;
}
@Override
public AbstractAlgorithm setParameters(double... params) {
return this;
}
@Override
public double[] getParameters() {
return new double[] {};
}
@Override
public double[] getDefaultParameters() {
return new double[] {};
}
@Override
public double getRegularizationFactor() {
return 0.0;
}
@Override
public double getStepFactor() {
return 0;
}
}

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