EMD-IIT based High-Resolution Signal Reconstruction using LMS Noise Canceller

Sharath.M, Raghu.K

Empirical mode decomposition iterative interval thresholding (EMD-IIT), normalized mean square error (NMSE), HR signal, LR signal.

High-resolution (HR) signal need to be reconstructed from the noisy Low-resolution (LR) signals that are measured naturally. The solution to this problem is that using EMD noise removal approach. This framework involves EMD iterative interval thresholding along with LMS algorithm which is applied to the available noisy low-resolution signal so that to obtain HR signals. Then the resulting signal is synthesized further to convert low-resolution signal to high-resolution signal. This method results in the reduction of normalized mean square error (NMSE) compared to the previous methods.