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

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



Sharath.M, Raghu.K 

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. 



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