목록Wireless Comm. (94)

UOMOP

AWGN(pi=64, si=0)

Wireless Comm./CISL 2023. 7. 27. 18:09
AWGN(pi=128, si=0)

Wireless Comm./CISL 2023. 7. 27. 10:23
AWGN(pi=256, si=0)

AWGN(pi=512, si=0)에서 인코더 출력 차원 수만 256으로
Wireless Comm./CISL 2023. 7. 26. 14:16
AWGN(pi=512, si=0)

import cv2 import math import time import torch import random import torchvision import numpy as np from PIL import Image import torch.nn as nn from numpy import sqrt import torch.optim as optim import torch.nn.functional as f import matplotlib.pyplot as plt import torchvision.transforms as tr from torchvision import datasets from torch.utils.data import DataLoader, Dataset def sobel_filter(img,..
Wireless Comm./CISL 2023. 7. 26. 14:15
AWGN, latent_dim = 500

import cv2 import math import time import torch import random import torchvision import numpy as np from PIL import Image import torch.nn as nn from numpy import sqrt import torch.optim as optim import torch.nn.functional as f import matplotlib.pyplot as plt import torchvision.transforms as tr from torchvision import datasets from torch.utils.data import DataLoader, Dataset def sobel_filter(img,..
Wireless Comm./CISL 2023. 7. 20. 10:29
Cifar10 AWGN [1dB, 10dB, 20dB]

import cv2 import math import torch import random import torchvision import torch.nn as nn import torch.optim as optim import torch.nn.functional as f import matplotlib.pyplot as plt import torchvision.transforms as tr from torch.utils.data import DataLoader import numpy as np import torchvision.transforms as transforms device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") prin..
Wireless Comm./CISL 2023. 7. 18. 10:53
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