UOMOP

% alpha와 beta의 값들alpha_values = [0.1, 0.4, 0.7, 1.0, 1.3, 1.6];beta_values = [0.1, 0.4, 0.7, 1.0, 1.3, 1.6];% 데이터: alpha, beta, dim, snr, Average PSNR, FLOPsdata = [ 0.1, 0.1, 512, 30, 30.17, 42615.213; 0.1, 0.4, 512, 30, 30.13, 41735.868; 0.1, 0.7, 512, 30, 30.04, 40109.326; 0.1, 1.0, 512, 30, 29.89, 37927.21; 0.1, 1.3, 512, 30, 29.69, 35437.803; 0.1, 1.6, 512, 30, 29.46, 3313..

% 데이터: alpha, beta, dim, snr, Average PSNR, FLOPsdata = [ 0.1, 0.1, 512, 30, 30.06, 45269.61; 0.1, 0.4, 512, 30, 30.05, 45131.627; 0.1, 0.7, 512, 30, 30.03, 44734.679; 0.1, 1.0, 512, 30, 29.98, 43972.61; 0.1, 1.3, 512, 30, 29.87, 42476.44; 0.1, 1.6, 512, 30, 29.68, 40356.324; 0.4, 0.1, 512, 30, 30.06, 45269.61; 0.4, 0.4, 512, 30, 30.05, 45129.967; 0.4, 0.7, 512, 30, 30..

% alpha와 beta의 값들alpha_values = [0.1, 0.4, 0.7, 1.0, 1.3, 1.6];beta_values = [0.1, 0.4, 0.7, 1.0, 1.3, 1.6];% 데이터: alpha, beta, dim, snr, Average PSNR, FLOPsdata = [ 0.1, 0.1, 512, 30, 30.53, 39008.573; 0.1, 0.4, 512, 30, 30.46, 37107.607; 0.1, 0.7, 512, 30, 30.29, 33694.062; 0.1, 1.0, 512, 30, 30.06, 30121.08; 0.1, 1.3, 512, 30, 29.79, 27204.84; 0.1, 1.6, 512, 30, 29.54, 25425..