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Merge pull request #16 from spectre-team/develop
Release 3.5.1 Introduces: * skeleton for signal processing through wavelets Fixes: * build dependencies problems
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,46 @@ | ||
| /* | ||
| * ConvolutionTest.cpp | ||
| * Tests convolution of the signal with given filter. | ||
| * | ||
| Copyright 2018 Michal Gallus | ||
| Licensed under the Apache License, Version 2.0 (the "License"); | ||
| you may not use this file except in compliance with the License. | ||
| You may obtain a copy of the License at | ||
| http://www.apache.org/licenses/LICENSE-2.0 | ||
| Unless required by applicable law or agreed to in writing, software | ||
| distributed under the License is distributed on an "AS IS" BASIS, | ||
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| See the License for the specific language governing permissions and | ||
| limitations under the License. | ||
| */ | ||
|
|
||
| #include <gtest/gtest.h> | ||
| #include "Spectre.libWavelet\Convolution.h" | ||
|
|
||
| namespace | ||
| { | ||
| using namespace spectre::algorithm::wavelet; | ||
|
|
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| TEST(ConvolutionInitialization, initializes) | ||
| { | ||
| EXPECT_NO_THROW(Convolution()); | ||
| } | ||
|
|
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| class ConvolutionTest : public ::testing::Test | ||
| { | ||
| protected: | ||
| Convolution convolution; | ||
| }; | ||
|
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| TEST_F(ConvolutionTest, properly_convolves_the_kernel_over_a_signal) | ||
| { | ||
| Signal signal = { 1.0, 2.0, 3.0, 4.0 }; | ||
| Signal kernel = { -0.5, 1.0 }; | ||
| Signal result = convolution.Convolve(kernel, signal); | ||
| Signal correctResult = { -0.5, 0.0, 0.5, 1.0 }; | ||
| ASSERT_EQ(correctResult, result); | ||
| } | ||
| } |
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src/Spectre.libWavelet.Tests/MeanAbsoluteDeviationNoiseEstimatorTest.cpp
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,48 @@ | ||
| /* | ||
| * MeanAbsoluteDeviationNoiseEstimatorTest.cpp | ||
| * Tests Mean Absolute Deviation noise estimator. | ||
| * | ||
| Copyright 2018 Michal Gallus | ||
| Licensed under the Apache License, Version 2.0 (the "License"); | ||
| you may not use this file except in compliance with the License. | ||
| You may obtain a copy of the License at | ||
| http://www.apache.org/licenses/LICENSE-2.0 | ||
| Unless required by applicable law or agreed to in writing, software | ||
| distributed under the License is distributed on an "AS IS" BASIS, | ||
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| See the License for the specific language governing permissions and | ||
| limitations under the License. | ||
| */ | ||
|
|
||
| #include <gtest/gtest.h> | ||
| #include "Spectre.libWavelet\MeanAbsoluteDeviationNoiseEstimator.h" | ||
|
|
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| namespace | ||
| { | ||
| using namespace spectre::algorithm::wavelet; | ||
|
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| TEST(MeanAbsoluteDeviationNoiseEstimatorInitialization, initializes) | ||
| { | ||
| EXPECT_NO_THROW(MeanAbsoluteDeviationNoiseEstimator(5.0)); | ||
| EXPECT_NO_THROW(MeanAbsoluteDeviationNoiseEstimator()); | ||
| } | ||
|
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| class MeanAbsoluteDeviationNoiseEstimatorTest : public ::testing::Test | ||
| { | ||
| protected: | ||
| MeanAbsoluteDeviationNoiseEstimator estimator; | ||
| }; | ||
|
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| TEST_F(MeanAbsoluteDeviationNoiseEstimatorTest, estimates_noise_for_regular_input) | ||
| { | ||
| Signal signal = { 1.0f, 2.0f, 3.0f }; | ||
| DataType maxAbsoluteError = 0.0001; | ||
| constexpr DataType result = static_cast<DataType>(1.4650890114825907); | ||
|
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| DataType estimate = estimator.Estimate(signal); | ||
| ASSERT_NEAR(estimate, result, maxAbsoluteError); | ||
| } | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,49 @@ | ||
| /* | ||
| * SoftThresholderTest.cpp | ||
| * Testing of the soft tresholding. | ||
| * | ||
| Copyright 2018 Michal Gallus | ||
| Licensed under the Apache License, Version 2.0 (the "License"); | ||
| you may not use this file except in compliance with the License. | ||
| You may obtain a copy of the License at | ||
| http://www.apache.org/licenses/LICENSE-2.0 | ||
| Unless required by applicable law or agreed to in writing, software | ||
| distributed under the License is distributed on an "AS IS" BASIS, | ||
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| See the License for the specific language governing permissions and | ||
| limitations under the License. | ||
| */ | ||
|
|
||
| #include <gtest/gtest.h> | ||
| #include "Spectre.libWavelet\SoftThresholder.h" | ||
|
|
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| namespace | ||
| { | ||
| using namespace spectre::algorithm::wavelet; | ||
|
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| TEST(SoftThresholderInitialization, initializes) | ||
| { | ||
| EXPECT_NO_THROW(SoftThresholder(0.0)); | ||
| EXPECT_NO_THROW(SoftThresholder(9.0)); | ||
| EXPECT_NO_THROW(SoftThresholder(-11.0)); | ||
| } | ||
|
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| class SoftThresholderTest : public ::testing::Test | ||
| { | ||
| public: | ||
| SoftThresholderTest() : tresholder(1.0) {} | ||
| protected: | ||
| SoftThresholder tresholder; | ||
| }; | ||
|
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| TEST_F(SoftThresholderTest, properly_tresholds_signal) | ||
| { | ||
| Signal input = { -1.0f, 2.0f, -3.0f, 4.0f }; | ||
| Signal output = tresholder(input); | ||
| Signal correctOutput = { -0.0f, 1.0f, -2.0f, 3.0f }; | ||
| ASSERT_EQ(correctOutput, output); | ||
| } | ||
| } |
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