You could also try using bincount, (np.bincount(x, y.real) +
1j*np.bincount(x, y.imag)) / np.bincount(x)
Bago
On Mon, May 20, 2013 at 9:03 AM, Robert Kern wrote:
> On Mon, May 20, 2013 at 5:00 PM, Neal Becker wrote:
> > I have a system that transmits signals for an alphabet of M symbols
> > o
On Mon, May 20, 2013 at 5:00 PM, Neal Becker wrote:
> 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 sy
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
