목록분류 전체보기 (307)
UOMOP
% 기존 데이터 입력 (FLOPs 데이터)snr_512 = [30, 25, 20, 15, 10, 5, 0]; % 새로운 SNR 범위flops_proposed_512 = [14855.182, 14400, 14073.754, 13500, 12959.42, 12000, 11114.83];flops_TopK_512 = [31627.156, 30991, 30431.124, 28912, 25640.668, 22231, 20487.248];flops_Random_512 = [41444.78, 39123, 34116.336, 27983, 23495.256, 20032, 18640.542];snr_256 = [30, 20, 10, 0]; % 새로운 SNR 범위flops_proposed_256 = [24347.00..
% 기존 데이터 입력snr_512 = [30, 20, 10, 0];psnr_proposed_512 = [30.99, 28.68, 24.98, 21.05];psnr_TopK_512 = [29.99, 27.82, 24.19, 20.41];psnr_Random_512 = [30.00, 27.38, 23.24, 19.02];snr_256 = [30, 20, 10, 0];psnr_proposed_256 = [27.35, 25.98, 23.23, 20.20];psnr_TopK_256 = [26.80, 25.34, 22.61, 19.32];psnr_Random_256 = [26.92, 25.24, 21.69, 17.96];% DeepJSCC 데이터 추가psnr_DeepJSCC_256 = [19.638, 23.318,..
% 기존 데이터 입력 (FLOPs 데이터)snr_512 = [30, 20, 10, 0]; % 새로운 SNR 범위flops_proposed_512 = [20855.182, 20073.754, 18959.42, 17114.83];flops_TopK_512 = [36627.156, 32831.124, 25740.668, 21987.248];flops_Random_512 = [44444.78, 37116.336, 25495.256, 19640.542];snr_256 = [30, 20, 10, 0]; % 새로운 SNR 범위flops_proposed_256 = [24347.008, 21197.228, 19014.698, 17960.544];flops_TopK_256 = [38023.62, 32121.048..
% 기존 데이터 입력 (FLOPs 데이터)snr_512 = [30, 25, 20, 15, 10, 5, 0]; % 새로운 SNR 범위flops_proposed_512 = [20855.182, 20464.468, 20073.754, 19516.587, 18959.42, 18037.125, 17114.83];flops_TopK_512 = [36627.156, 35229.14, 32831.124, 29285.896, 25740.668, 23863.958, 21987.248];flops_Random_512 = [44444.78, 41780.558, 37116.336, 30305.796, 25495.256, 22567.899, 19640.542];snr_256 = [30, 25, 20, 15, 10, 5, 0]; ..
% 기존 데이터 입력 (FLOPs 데이터)snr_512 = [30, 20, 10, 0];flops_proposed_512 = [20855.182, 20073.754, 18959.42, 17114.83];flops_TopK_512 = [37627.156, 32831.124, 25740.668, 21987.248];flops_Random_512 = [44444.78, 37116.336, 25495.256, 19640.542];snr_256 = [30, 20, 10, 0];flops_proposed_256 = [24347.008, 21197.228, 19014.698, 17960.544];flops_TopK_256 = [36023.62, 31121.048, 23387.992, 21973.838];flops_R..
% 데이터 정의x_labels = {'Only image', 'Only FFT', 'Image + FFT', 'Image + FFT (1/2)'};x = 1:length(x_labels);mae_data = [0.685, 0.611, 0.449, 0.472]; % Mean Absolute Error 데이터% 그래프 생성figure;b = bar(x, mae_data, 0.45, 'FaceColor', 'flat'); % 막대 그래프 생성 (가로 폭 0.45로 설정)b.CData(:,:) = [0 0 1; 0 0 1; 0 0 1; 1 0 0]; % 막대 색상 설정 (마지막 막대만 빨간색)% 데이터 라벨 추가 (막대와 동일한 색상으로 설정)for i = 1:length(mae_data) % 텍스트 색상..