compute_ber

sionna.phy.utils.compute_ber(b: torch.Tensor, b_hat: torch.Tensor, precision: Literal['single', 'double'] = 'double') → torch.Tensor

Computes the bit error rate (BER) between two binary tensors.

Parameters:

• b (torch.Tensor) – A tensor of arbitrary shape filled with ones and zeros.

• b_hat (torch.Tensor) – A tensor like b.

• precision (Literal['single', 'double']) – Precision used for internal calculations and outputs. Defaults to "double".

Outputs:

ber – torch.float. BER.

Examples

import torch
from sionna.phy.utils import compute_ber

b = torch.tensor([0, 1, 0, 1])
b_hat = torch.tensor([0, 1, 1, 0])
print(compute_ber(b, b_hat).item())
# 0.5