The research of wavelet reconstruction with incomplete signal

Now the wavelet is an advanced tool in signal processing, and if there is no signal lost after decomposition, the reconstruction may be perfect and the reconstructed signal is almost the same as the original signal. But if some signal is lost after decomposition, then the lost signal need to be obtained before reconstruction to perform the perfect reconstruction. The idea of difference compare is used to estimate the lost signal self-adaptively. And the detailed processing steps are proposed and then how to use the estimated signal and other received signal to accomplish the reconstruction is introduced particularly. Some images are used to testify the results, the experiments show it is an effective method.