- sdr.bsc_capacity(p: ArrayLike) NDArray[float64]
Calculates the capacity of a binary symmetric channel (BSC).
- Parameters:¶
- p: ArrayLike¶
The transition probability \(p\) of the BSC channel.
- Returns:¶
The capacity \(C\) of the channel in bits/channel use.
Notes
The inputs to the BSC are \(x_i \in \{0, 1\}\) and the outputs are \(y_i \in \{0, 1\}\). The capacity of the BSC is
\[C = 1 - H_b(p) \ \ \text{bits/channel use} .\]Examples
When the probability \(p\) of bit error is 0, the capacity of the channel is 1 bit/channel use. However, as the probability of bit error approaches 0.5, the capacity of the channel approaches 0.
In [1]: p = np.linspace(0, 1, 100); \ ...: C = sdr.bsc_capacity(p) ...: In [2]: plt.figure(); \ ...: plt.plot(p, C); \ ...: plt.xlabel("Transition probability, $p$"); \ ...: plt.ylabel("Capacity (bits/channel use), $C$"); \ ...: plt.title("Capacity of the Binary Symmetric Channel"); ...: