Why is Wavelet Transform Important in Nanotechnology?
In nanotechnology, the ability to analyze signals at different scales is crucial. For example, wavelet transform can be used to analyze atomic force microscopy (AFM) data to identify surface textures and irregularities at the nanoscale. It can also be used in spectroscopy to identify chemical compounds by analyzing spectral data.
