I have a system that transmits signals for an alphabet of M symbols over and additive Gaussian noise channel. The receiver has a 1-d array of complex received values. I'd like to find the means of the received values according to the symbol that was transmitted.
So transmit symbol indexes might be: x = [0, 1, 2, 1, 3, ...] and receive output might be: y = [(1+1j), (1-1j), ...] Suppose the alphabet was M=4. Then I'd like to get an array of means m[0...3] that correspond to the values of y for each of the corresponding values of x. I can't think of a better way than manually using loops. Any tricks here? _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
