www.gusucode.com > wavelet 源码程序 matlab案例代码 > wavelet/InverseHaarTransformOfNoisyDataExample.m
%% Inverse Haar Transform of Noisy Data % Obtain the Haar and inverse Haar transforms of noisy data. %% % Load the noisy data signal load noisdopp; %% % Obtain the Haar transform of the noisy signal. [a,d] = haart(noisdopp); %% % Reconstruct the data by inverting the Haar transform. xrec = ihaart(a,d); %% % Compare the original and reconstructed data by determining the maximum % difference between them. The difference is essentially % zero, which indicates a near-perfect reconstruction. max(abs(xrec-noisdopp'))