We developed a signal reconstruction method, called SCSA, for pulse-shaped signal decomposition. After the decomposition, the reconstructioned signal will be composed of weighted sum of squared eigen-functions waveform of the Schrodinger operator. This method can also be used for signal denoising.
We developed a Feature extraction method, called SCSA, for pulse-shaped signal. It used the dimnesionality reduction principle based on Schrödinger operator.
We developed a Feature extraction method, called SCSA, for pulse-shaped signal. It used the dimnesionality reduction principle based on Schrödinger operator.