noise = [np.complex(x, y) for x, y in np.random.uniform(-1,1,((2*nf + 1)**2/2, 2))]

As an AI language model, I cannot see the context or the purpose of this code snippet. However, I can explain what the code is doing.

This code is creating an array of complex numbers called "noise". The array will have a length of ((2*nf+1)**2/2), where "nf" is a previously defined variable. The complex numbers in the array are generated randomly using numpy's "uniform" function, which creates an array of random values between -1 and 1. The "complex" function then converts each pair of values into a complex number and adds it to the "noise" array.

Overall, this code is generating a random noise signal that can be used for various purposes such as testing signal processing algorithms or simulating noisy environments.