| Wavelet Toolbox | |
Discussion
Wavelet analysis is useful in revealing signal trends, a goal that is complementary to the one of revealing a signal hidden in noise. It's important to remember that the trend is the slowest part of the signal. If the signal itself includes sharp changes, then successive approximations look less and less similar to the original signal.
Consider the demo analysis File
Demo AnalysisStep signal (MAT-file wstep.mat). It is instructive to analyze this signal using the Wavelet 1-D tool and see what happens to the successive approximations. Try it.
| | Detecting Long-Term Evolution | Detecting Self-Similarity | |