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mxlib
c++ tools for analyzing astronomical data and other tasks by Jared R. Males. [git repo]
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Functions | |
| TEST_CASE ("compiling psdFilter", "[sigproc::psdFilter]") | |
| TEST_CASE ("filtering with psdFilter", "[sigproc::psdFilter]") | |
| TEST_CASE | ( | "compiling psdFilter" | , |
| "" | [sigproc::psdFilter] ) |
compiling psdFilter
Verify compilation and initilization of the 3 ranks for psdFilter.
Definition at line 33 of file psdFilter_test.cpp.
| TEST_CASE | ( | "filtering with psdFilter" | , |
| "" | [sigproc::psdFilter] ) |
Verify filtering and noise normalization Conducts random noise tests, verifying that the resultant rms is within 2% of expected value on average over many trials. Results are usually better than 1%, but 2% makes sure we don't get false failures.
Definition at line 230 of file psdFilter_test.cpp.
References mx::sigproc::augment1SidedPSD(), mx::sigproc::augment1SidedPSDFreq(), mx::sigproc::frequencyGrid(), mx::improc::eigenCube< dataT >::image(), mx::sigproc::normPSD(), mx::improc::eigenCube< dataT >::pixel(), mx::math::randomT< typeT, _ranengT, _randistT >::seed(), and mx::math::vectorVariance().