sk_dsp_comm/fec_conv.py
def soft_Pk(k,R,SNR,M=2):
    """
    Pk = soft_Pk(k,R,SNR)
    
    Calculates Pk as found in Ziemer & Peterson eq. 7-13, p.505
    
    Mark Wickert November 2014
    """
    if M == 2:
        Pk = Q_fctn(np.sqrt(2.*k*R*SNR))
    else:
        Pk = 4./np.log2(M)*(1 - 1./np.sqrt(M))*\
             Q_fctn(np.sqrt(3*k*R*np.log2(M)/float(M-1)*SNR))
    
    return Pk
def soft_Pk(k,R,SNR,M=2):
    """
    Pk = soft_Pk(k,R,SNR)
    
    Calculates Pk as found in Ziemer & Peterson eq. 7-13, p.505
    
    Mark Wickert November 2014
    """
    if M == 2:
        Pk = Q_fctn(np.sqrt(2.*k*R*SNR))
    else:
        Pk = 4./np.log2(M)*(1 - 1./np.sqrt(M))*\
             Q_fctn(np.sqrt(3*k*R*np.log2(M)/float(M-1)*SNR))
    
    return Pk
def soft_Pk ( k , R , SNR , M = 2 ) : if M == 2 : Pk = Q_fctn ( np . sqrt ( 2. * k * R * SNR ) ) else : Pk = 4. / np . log2 ( M ) * ( 1 - 1. / np . sqrt ( M ) ) * Q_fctn ( np . sqrt ( 3 * k * R * np . log2 ( M ) / float ( M - 1 ) * SNR ) ) return Pk
Pk = soft_Pk(k,R,SNR)
    
    Calculates Pk as found in Ziemer & Peterson eq. 7-13, p.505
    
    Mark Wickert November 2014
Pk = soft_Pk ( k R SNR ) Calculates Pk as found in Ziemer & Peterson eq . 7 - 13 p . 505 Mark Wickert November 2014