![]() The toolkit is flexible enough to deal with a wide range of oscillatory signals, however, and may be used in more general contexts. Our work has been motivated by the challenges of circadian data, thus default settings appropriate to the analysis of such data have been pre-selected in order to minimize the need for fine-tuning. The interface allows for data to be imported from a number of standard file formats, visualized, processed and analyzed, and exported without use of the command line. ![]() WAVOS features both the continuous (Morlet) and discrete (Daubechies) wavelet transforms, with a simple, user-friendly graphical user interface within MATLAB. We have developed the WAVOS toolkit for wavelet analysis and visualization of oscillatory systems. By developing a toolkit that makes these analyses accessible to end users without significant programming experience, we hope to promote the more widespread use of wavelet analysis. While many implementations of both continuous and discrete wavelet transforms are available, we are aware of no software that has been designed with the nontechnical end-user in mind. Wavelets have proven to be a powerful technique for the analysis of periodic data, such as those that arise in the analysis of circadian oscillators.
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