1d & 2d continuous wavelet transform (CWT) to find time-dependent oscillatory signals, and to detect features of given scale in images. The 1d CWT comes with the Morlet wavlet to detect quasi-oscillatory signals. Statistically relevant scale-time tracks are extracted automatically. A visualization function is provided. The 2d CWT has several mother wavelets available. The Mexican-Hat wavelet allows for the detection of edges and blobs at given scales, filtering and the building of scale-space representations. Documentation, in the form of a PDF, for the wavelet tool is ready. The wavelet module has been uploaded to the website and is ready for testing.

• Tool name: wavelet.py
• Developers: Erwin Verwichte (Warwick)
• Basic description: 1d & 2d continuous wavelet transform module
• Language: Python 2.x
• Resource needed to use: desktop computer
• Host location: immediately available on host website
• Current status: completed and in active use, testing under way (e.g. different OS)
• 6-month plan to availability: ready & available
• Status of documentation: documentation available
• Test status: testing under way but has actively been used on solar data: EIT, TRACE, SDO, Hinode, IRIS, SST
• How to reference tool in publication: Relevant publications to cite listed in documentation
• Download from github