| calculateThreshold(double[], double, WaveletDenoiser.ThresholdMethod) |   | 73% | | 83% | 1 | 6 | 6 | 19 | 0 | 1 |
| calculateMinimaxThreshold(int, double) | | 60% | | 50% | 2 | 3 | 2 | 6 | 0 | 1 |
| applyThreshold(double[], double, WaveletDenoiser.ThresholdType) | | 85% | | 78% | 2 | 8 | 3 | 13 | 0 | 1 |
| calculateMedian(double[]) | | 82% | | 50% | 1 | 2 | 1 | 6 | 0 | 1 |
| WaveletDenoiser(Wavelet, BoundaryMode) | | 73% | | 50% | 2 | 3 | 2 | 9 | 0 | 1 |
| calculateBayesThreshold(double[], double) | | 100% | | 100% | 0 | 3 | 0 | 14 | 0 | 1 |
| calculateSUREThreshold(double[], double) | | 100% | | 100% | 0 | 5 | 0 | 17 | 0 | 1 |
| calculateSURERisk(double[], double, double) | | 100% | | 100% | 0 | 3 | 0 | 9 | 0 | 1 |
| denoise(double[], WaveletDenoiser.ThresholdMethod, WaveletDenoiser.ThresholdType) | | 100% | | n/a | 0 | 1 | 0 | 8 | 0 | 1 |
| denoiseMultiLevel(double[], int, WaveletDenoiser.ThresholdMethod, WaveletDenoiser.ThresholdType) | | 100% | | n/a | 0 | 1 | 0 | 5 | 0 | 1 |
| denoiseFixed(double[], double, WaveletDenoiser.ThresholdType) | | 100% | | n/a | 0 | 1 | 0 | 6 | 0 | 1 |
| estimateNoiseSigma(double[]) | | 100% | | 100% | 0 | 2 | 0 | 5 | 0 | 1 |
| forFinancialData() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| denoise(double[], WaveletDenoiser.ThresholdMethod) | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |