Here is how PoZeTools v0.56 calculated filter coefficients,
given your set of poles, zeros and gain parameter:
0 zeros give 1 coefficient:
a0 = G
10 poles give 11 coefficients:
b0 = 1
b1 = -(P0 + P1 + P2 + P3 + P4 + P5 + P6 + P7 + P8 + P9)
b2 = (P0*P1 + P0*P2 + P0*P3 + P0*P4 + P0*P5 + P0*P6 + P0*P7 + P0*P8 + P0*P9 + P1*P2 + P1*P3 + P1*P4 + P1*P5 + P1*P6 + P1*P7 + P1*P8 + P1*P9 + P2*P3 + P2*P4 + P2*P5 + P2*P6 + P2*P7 + P2*P8 + P2*P9 + P3*P4 + P3*P5 + P3*P6 + P3*P7 + P3*P8 + P3*P9 + P4*P5 + P4*P6 + P4*P7 + P4*P8 + P4*P9 + P5*P6 + P5*P7 + P5*P8 + P5*P9 + P6*P7 + P6*P8 + P6*P9 + P7*P8 + P7*P9 + P8*P9)
b3 = -(P0*P1*P2 + P0*P1*P3 + P0*P1*P4 + P0*P1*P5 + P0*P1*P6 + P0*P1*P7 + P0*P1*P8 + P0*P1*P9 + P0*P2*P3 + P0*P2*P4 + P0*P2*P5 + P0*P2*P6 + P0*P2*P7 + P0*P2*P8 + P0*P2*P9 + P0*P3*P4 + P0*P3*P5 + P0*P3*P6 + P0*P3*P7 + P0*P3*P8 + P0*P3*P9 + P0*P4*P5 + P0*P4*P6 + P0*P4*P7 + P0*P4*P8 + P0*P4*P9 + P0*P5*P6 + P0*P5*P7 + P0*P5*P8 + P0*P5*P9 + P0*P6*P7 + P0*P6*P8 + P0*P6*P9 + P0*P7*P8 + P0*P7*P9 + P0*P8*P9 + P1*P2*P3 + P1*P2*P4 + P1*P2*P5 + P1*P2*P6 + P1*P2*P7 + P1*P2*P8 + P1*P2*P9 + P1*P3*P4 + P1*P3*P5 + P1*P3*P6 + P1*P3*P7 + P1*P3*P8 + P1*P3*P9 + P1*P4*P5 + P1*P4*P6 + P1*P4*P7 + P1*P4*P8 + P1*P4*P9 + P1*P5*P6 + P1*P5*P7 + P1*P5*P8 + P1*P5*P9 + P1*P6*P7 + P1*P6*P8 + P1*P6*P9 + P1*P7*P8 + P1*P7*P9 + P1*P8*P9 + P2*P3*P4 + P2*P3*P5 + P2*P3*P6 + P2*P3*P7 + P2*P3*P8 + P2*P3*P9 + P2*P4*P5 + P2*P4*P6 + P2*P4*P7 + P2*P4*P8 + P2*P4*P9 + P2*P5*P6 + P2*P5*P7 + P2*P5*P8 + P2*P5*P9 + P2*P6*P7 + P2*P6*P8 + P2*P6*P9 + P2*P7*P8 + P2*P7*P9 + P2*P8*P9 + P3*P4*P5 + P3*P4*P6 + P3*P4*P7 + P3*P4*P8 + P3*P4*P9 + P3*P5*P6 + P3*P5*P7 + P3*P5*P8 + P3*P5*P9 + P3*P6*P7 + P3*P6*P8 + P3*P6*P9 + P3*P7*P8 + P3*P7*P9 + P3*P8*P9 + P4*P5*P6 + P4*P5*P7 + P4*P5*P8 + P4*P5*P9 + P4*P6*P7 + P4*P6*P8 + P4*P6*P9 + P4*P7*P8 + P4*P7*P9 + P4*P8*P9 + P5*P6*P7 + P5*P6*P8 + P5*P6*P9 + P5*P7*P8 + P5*P7*P9 + P5*P8*P9 + P6*P7*P8 + P6*P7*P9 + P6*P8*P9 + P7*P8*P9)
b4 = (P0*P1*P2*P3 + P0*P1*P2*P4 + P0*P1*P2*P5 + P0*P1*P2*P6 + P0*P1*P2*P7 + P0*P1*P2*P8 + P0*P1*P2*P9 + P0*P1*P3*P4 + P0*P1*P3*P5 + P0*P1*P3*P6 + P0*P1*P3*P7 + P0*P1*P3*P8 + P0*P1*P3*P9 + P0*P1*P4*P5 + P0*P1*P4*P6 + P0*P1*P4*P7 + P0*P1*P4*P8 + P0*P1*P4*P9 + P0*P1*P5*P6 + P0*P1*P5*P7 + P0*P1*P5*P8 + P0*P1*P5*P9 + P0*P1*P6*P7 + P0*P1*P6*P8 + P0*P1*P6*P9 + P0*P1*P7*P8 + P0*P1*P7*P9 + P0*P1*P8*P9 + P0*P2*P3*P4 + P0*P2*P3*P5 + P0*P2*P3*P6 + P0*P2*P3*P7 + P0*P2*P3*P8 + P0*P2*P3*P9 + P0*P2*P4*P5 + P0*P2*P4*P6 + P0*P2*P4*P7 + P0*P2*P4*P8 + P0*P2*P4*P9 + P0*P2*P5*P6 + P0*P2*P5*P7 + P0*P2*P5*P8 + P0*P2*P5*P9 + P0*P2*P6*P7 + P0*P2*P6*P8 + P0*P2*P6*P9 + P0*P2*P7*P8 + P0*P2*P7*P9 + P0*P2*P8*P9 + P0*P3*P4*P5 + P0*P3*P4*P6 + P0*P3*P4*P7 + P0*P3*P4*P8 + P0*P3*P4*P9 + P0*P3*P5*P6 + P0*P3*P5*P7 + P0*P3*P5*P8 + P0*P3*P5*P9 + P0*P3*P6*P7 + P0*P3*P6*P8 + P0*P3*P6*P9 + P0*P3*P7*P8 + P0*P3*P7*P9 + P0*P3*P8*P9 + P0*P4*P5*P6 + P0*P4*P5*P7 + P0*P4*P5*P8 + P0*P4*P5*P9 + P0*P4*P6*P7 + P0*P4*P6*P8 + P0*P4*P6*P9 + P0*P4*P7*P8 + P0*P4*P7*P9 + P0*P4*P8*P9 + P0*P5*P6*P7 + P0*P5*P6*P8 + P0*P5*P6*P9 + P0*P5*P7*P8 + P0*P5*P7*P9 + P0*P5*P8*P9 + P0*P6*P7*P8 + P0*P6*P7*P9 + P0*P6*P8*P9 + P0*P7*P8*P9 + P1*P2*P3*P4 + P1*P2*P3*P5 + P1*P2*P3*P6 + P1*P2*P3*P7 + P1*P2*P3*P8 + P1*P2*P3*P9 + P1*P2*P4*P5 + P1*P2*P4*P6 + P1*P2*P4*P7 + P1*P2*P4*P8 + P1*P2*P4*P9 + P1*P2*P5*P6 + P1*P2*P5*P7 + P1*P2*P5*P8 + P1*P2*P5*P9 + P1*P2*P6*P7 + P1*P2*P6*P8 + P1*P2*P6*P9 + P1*P2*P7*P8 + P1*P2*P7*P9 + P1*P2*P8*P9 + P1*P3*P4*P5 + P1*P3*P4*P6 + P1*P3*P4*P7 + P1*P3*P4*P8 + P1*P3*P4*P9 + P1*P3*P5*P6 + P1*P3*P5*P7 + P1*P3*P5*P8 + P1*P3*P5*P9 + P1*P3*P6*P7 + P1*P3*P6*P8 + P1*P3*P6*P9 + P1*P3*P7*P8 + P1*P3*P7*P9 + P1*P3*P8*P9 + P1*P4*P5*P6 + P1*P4*P5*P7 + P1*P4*P5*P8 + P1*P4*P5*P9 + P1*P4*P6*P7 + P1*P4*P6*P8 + P1*P4*P6*P9 + P1*P4*P7*P8 + P1*P4*P7*P9 + P1*P4*P8*P9 + P1*P5*P6*P7 + P1*P5*P6*P8 + P1*P5*P6*P9 + P1*P5*P7*P8 + P1*P5*P7*P9 + P1*P5*P8*P9 + P1*P6*P7*P8 + P1*P6*P7*P9 + P1*P6*P8*P9 + P1*P7*P8*P9 + P2*P3*P4*P5 + P2*P3*P4*P6 + P2*P3*P4*P7 + P2*P3*P4*P8 + P2*P3*P4*P9 + P2*P3*P5*P6 + P2*P3*P5*P7 + P2*P3*P5*P8 + P2*P3*P5*P9 + P2*P3*P6*P7 + P2*P3*P6*P8 + P2*P3*P6*P9 + P2*P3*P7*P8 + P2*P3*P7*P9 + P2*P3*P8*P9 + P2*P4*P5*P6 + P2*P4*P5*P7 + P2*P4*P5*P8 + P2*P4*P5*P9 + P2*P4*P6*P7 + P2*P4*P6*P8 + P2*P4*P6*P9 + P2*P4*P7*P8 + P2*P4*P7*P9 + P2*P4*P8*P9 + P2*P5*P6*P7 + P2*P5*P6*P8 + P2*P5*P6*P9 + P2*P5*P7*P8 + P2*P5*P7*P9 + P2*P5*P8*P9 + P2*P6*P7*P8 + P2*P6*P7*P9 + P2*P6*P8*P9 + P2*P7*P8*P9 + P3*P4*P5*P6 + P3*P4*P5*P7 + P3*P4*P5*P8 + P3*P4*P5*P9 + P3*P4*P6*P7 + P3*P4*P6*P8 + P3*P4*P6*P9 + P3*P4*P7*P8 + P3*P4*P7*P9 + P3*P4*P8*P9 + P3*P5*P6*P7 + P3*P5*P6*P8 + P3*P5*P6*P9 + P3*P5*P7*P8 + P3*P5*P7*P9 + P3*P5*P8*P9 + P3*P6*P7*P8 + P3*P6*P7*P9 + P3*P6*P8*P9 + P3*P7*P8*P9 + P4*P5*P6*P7 + P4*P5*P6*P8 + P4*P5*P6*P9 + P4*P5*P7*P8 + P4*P5*P7*P9 + P4*P5*P8*P9 + P4*P6*P7*P8 + P4*P6*P7*P9 + P4*P6*P8*P9 + P4*P7*P8*P9 + P5*P6*P7*P8 + P5*P6*P7*P9 + P5*P6*P8*P9 + P5*P7*P8*P9 + P6*P7*P8*P9)
b5 = -(P0*P1*P2*P3*P4 + P0*P1*P2*P3*P5 + P0*P1*P2*P3*P6 + P0*P1*P2*P3*P7 + P0*P1*P2*P3*P8 + P0*P1*P2*P3*P9 + P0*P1*P2*P4*P5 + P0*P1*P2*P4*P6 + P0*P1*P2*P4*P7 + P0*P1*P2*P4*P8 + P0*P1*P2*P4*P9 + P0*P1*P2*P5*P6 + P0*P1*P2*P5*P7 + P0*P1*P2*P5*P8 + P0*P1*P2*P5*P9 + P0*P1*P2*P6*P7 + P0*P1*P2*P6*P8 + P0*P1*P2*P6*P9 + P0*P1*P2*P7*P8 + P0*P1*P2*P7*P9 + P0*P1*P2*P8*P9 + P0*P1*P3*P4*P5 + P0*P1*P3*P4*P6 + P0*P1*P3*P4*P7 + P0*P1*P3*P4*P8 + P0*P1*P3*P4*P9 + P0*P1*P3*P5*P6 + P0*P1*P3*P5*P7 + P0*P1*P3*P5*P8 + P0*P1*P3*P5*P9 + P0*P1*P3*P6*P7 + P0*P1*P3*P6*P8 + P0*P1*P3*P6*P9 + P0*P1*P3*P7*P8 + P0*P1*P3*P7*P9 + P0*P1*P3*P8*P9 + P0*P1*P4*P5*P6 + P0*P1*P4*P5*P7 + P0*P1*P4*P5*P8 + P0*P1*P4*P5*P9 + P0*P1*P4*P6*P7 + P0*P1*P4*P6*P8 + P0*P1*P4*P6*P9 + P0*P1*P4*P7*P8 + P0*P1*P4*P7*P9 + P0*P1*P4*P8*P9 + P0*P1*P5*P6*P7 + P0*P1*P5*P6*P8 + P0*P1*P5*P6*P9 + P0*P1*P5*P7*P8 + P0*P1*P5*P7*P9 + P0*P1*P5*P8*P9 + P0*P1*P6*P7*P8 + P0*P1*P6*P7*P9 + P0*P1*P6*P8*P9 + P0*P1*P7*P8*P9 + P0*P2*P3*P4*P5 + P0*P2*P3*P4*P6 + P0*P2*P3*P4*P7 + P0*P2*P3*P4*P8 + P0*P2*P3*P4*P9 + P0*P2*P3*P5*P6 + P0*P2*P3*P5*P7 + P0*P2*P3*P5*P8 + P0*P2*P3*P5*P9 + P0*P2*P3*P6*P7 + P0*P2*P3*P6*P8 + P0*P2*P3*P6*P9 + P0*P2*P3*P7*P8 + P0*P2*P3*P7*P9 + P0*P2*P3*P8*P9 + P0*P2*P4*P5*P6 + P0*P2*P4*P5*P7 + P0*P2*P4*P5*P8 + P0*P2*P4*P5*P9 + P0*P2*P4*P6*P7 + P0*P2*P4*P6*P8 + P0*P2*P4*P6*P9 + P0*P2*P4*P7*P8 + P0*P2*P4*P7*P9 + P0*P2*P4*P8*P9 + P0*P2*P5*P6*P7 + P0*P2*P5*P6*P8 + P0*P2*P5*P6*P9 + P0*P2*P5*P7*P8 + P0*P2*P5*P7*P9 + P0*P2*P5*P8*P9 + P0*P2*P6*P7*P8 + P0*P2*P6*P7*P9 + P0*P2*P6*P8*P9 + P0*P2*P7*P8*P9 + P0*P3*P4*P5*P6 + P0*P3*P4*P5*P7 + P0*P3*P4*P5*P8 + P0*P3*P4*P5*P9 + P0*P3*P4*P6*P7 + P0*P3*P4*P6*P8 + P0*P3*P4*P6*P9 + P0*P3*P4*P7*P8 + P0*P3*P4*P7*P9 + P0*P3*P4*P8*P9 + P0*P3*P5*P6*P7 + P0*P3*P5*P6*P8 + P0*P3*P5*P6*P9 + P0*P3*P5*P7*P8 + P0*P3*P5*P7*P9 + P0*P3*P5*P8*P9 + P0*P3*P6*P7*P8 + P0*P3*P6*P7*P9 + P0*P3*P6*P8*P9 + P0*P3*P7*P8*P9 + P0*P4*P5*P6*P7 + P0*P4*P5*P6*P8 + P0*P4*P5*P6*P9 + P0*P4*P5*P7*P8 + P0*P4*P5*P7*P9 + P0*P4*P5*P8*P9 + P0*P4*P6*P7*P8 + P0*P4*P6*P7*P9 + P0*P4*P6*P8*P9 + P0*P4*P7*P8*P9 + P0*P5*P6*P7*P8 + P0*P5*P6*P7*P9 + P0*P5*P6*P8*P9 + P0*P5*P7*P8*P9 + P0*P6*P7*P8*P9 + P1*P2*P3*P4*P5 + P1*P2*P3*P4*P6 + P1*P2*P3*P4*P7 + P1*P2*P3*P4*P8 + P1*P2*P3*P4*P9 + P1*P2*P3*P5*P6 + P1*P2*P3*P5*P7 + P1*P2*P3*P5*P8 + P1*P2*P3*P5*P9 + P1*P2*P3*P6*P7 + P1*P2*P3*P6*P8 + P1*P2*P3*P6*P9 + P1*P2*P3*P7*P8 + P1*P2*P3*P7*P9 + P1*P2*P3*P8*P9 + P1*P2*P4*P5*P6 + P1*P2*P4*P5*P7 + P1*P2*P4*P5*P8 + P1*P2*P4*P5*P9 + P1*P2*P4*P6*P7 + P1*P2*P4*P6*P8 + P1*P2*P4*P6*P9 + P1*P2*P4*P7*P8 + P1*P2*P4*P7*P9 + P1*P2*P4*P8*P9 + P1*P2*P5*P6*P7 + P1*P2*P5*P6*P8 + P1*P2*P5*P6*P9 + P1*P2*P5*P7*P8 + P1*P2*P5*P7*P9 + P1*P2*P5*P8*P9 + P1*P2*P6*P7*P8 + P1*P2*P6*P7*P9 + P1*P2*P6*P8*P9 + P1*P2*P7*P8*P9 + P1*P3*P4*P5*P6 + P1*P3*P4*P5*P7 + P1*P3*P4*P5*P8 + P1*P3*P4*P5*P9 + P1*P3*P4*P6*P7 + P1*P3*P4*P6*P8 + P1*P3*P4*P6*P9 + P1*P3*P4*P7*P8 + P1*P3*P4*P7*P9 + P1*P3*P4*P8*P9 + P1*P3*P5*P6*P7 + P1*P3*P5*P6*P8 + P1*P3*P5*P6*P9 + P1*P3*P5*P7*P8 + P1*P3*P5*P7*P9 + P1*P3*P5*P8*P9 + P1*P3*P6*P7*P8 + P1*P3*P6*P7*P9 + P1*P3*P6*P8*P9 + P1*P3*P7*P8*P9 + P1*P4*P5*P6*P7 + P1*P4*P5*P6*P8 + P1*P4*P5*P6*P9 + P1*P4*P5*P7*P8 + P1*P4*P5*P7*P9 + P1*P4*P5*P8*P9 + P1*P4*P6*P7*P8 + P1*P4*P6*P7*P9 + P1*P4*P6*P8*P9 + P1*P4*P7*P8*P9 + P1*P5*P6*P7*P8 + P1*P5*P6*P7*P9 + P1*P5*P6*P8*P9 + P1*P5*P7*P8*P9 + P1*P6*P7*P8*P9 + P2*P3*P4*P5*P6 + P2*P3*P4*P5*P7 + P2*P3*P4*P5*P8 + P2*P3*P4*P5*P9 + P2*P3*P4*P6*P7 + P2*P3*P4*P6*P8 + P2*P3*P4*P6*P9 + P2*P3*P4*P7*P8 + P2*P3*P4*P7*P9 + P2*P3*P4*P8*P9 + P2*P3*P5*P6*P7 + P2*P3*P5*P6*P8 + P2*P3*P5*P6*P9 + P2*P3*P5*P7*P8 + P2*P3*P5*P7*P9 + P2*P3*P5*P8*P9 + P2*P3*P6*P7*P8 + P2*P3*P6*P7*P9 + P2*P3*P6*P8*P9 + P2*P3*P7*P8*P9 + P2*P4*P5*P6*P7 + P2*P4*P5*P6*P8 + P2*P4*P5*P6*P9 + P2*P4*P5*P7*P8 + P2*P4*P5*P7*P9 + P2*P4*P5*P8*P9 + P2*P4*P6*P7*P8 + P2*P4*P6*P7*P9 + P2*P4*P6*P8*P9 + P2*P4*P7*P8*P9 + P2*P5*P6*P7*P8 + P2*P5*P6*P7*P9 + P2*P5*P6*P8*P9 + P2*P5*P7*P8*P9 + P2*P6*P7*P8*P9 + P3*P4*P5*P6*P7 + P3*P4*P5*P6*P8 + P3*P4*P5*P6*P9 + P3*P4*P5*P7*P8 + P3*P4*P5*P7*P9 + P3*P4*P5*P8*P9 + P3*P4*P6*P7*P8 + P3*P4*P6*P7*P9 + P3*P4*P6*P8*P9 + P3*P4*P7*P8*P9 + P3*P5*P6*P7*P8 + P3*P5*P6*P7*P9 + P3*P5*P6*P8*P9 + P3*P5*P7*P8*P9 + P3*P6*P7*P8*P9 + P4*P5*P6*P7*P8 + P4*P5*P6*P7*P9 + P4*P5*P6*P8*P9 + P4*P5*P7*P8*P9 + P4*P6*P7*P8*P9 + P5*P6*P7*P8*P9)
b6 = (P0*P1*P2*P3*P4*P5 + P0*P1*P2*P3*P4*P6 + P0*P1*P2*P3*P4*P7 + P0*P1*P2*P3*P4*P8 + P0*P1*P2*P3*P4*P9 + P0*P1*P2*P3*P5*P6 + P0*P1*P2*P3*P5*P7 + P0*P1*P2*P3*P5*P8 + P0*P1*P2*P3*P5*P9 + P0*P1*P2*P3*P6*P7 + P0*P1*P2*P3*P6*P8 + P0*P1*P2*P3*P6*P9 + P0*P1*P2*P3*P7*P8 + P0*P1*P2*P3*P7*P9 + P0*P1*P2*P3*P8*P9 + P0*P1*P2*P4*P5*P6 + P0*P1*P2*P4*P5*P7 + P0*P1*P2*P4*P5*P8 + P0*P1*P2*P4*P5*P9 + P0*P1*P2*P4*P6*P7 + P0*P1*P2*P4*P6*P8 + P0*P1*P2*P4*P6*P9 + P0*P1*P2*P4*P7*P8 + P0*P1*P2*P4*P7*P9 + P0*P1*P2*P4*P8*P9 + P0*P1*P2*P5*P6*P7 + P0*P1*P2*P5*P6*P8 + P0*P1*P2*P5*P6*P9 + P0*P1*P2*P5*P7*P8 + P0*P1*P2*P5*P7*P9 + P0*P1*P2*P5*P8*P9 + P0*P1*P2*P6*P7*P8 + P0*P1*P2*P6*P7*P9 + P0*P1*P2*P6*P8*P9 + P0*P1*P2*P7*P8*P9 + P0*P1*P3*P4*P5*P6 + P0*P1*P3*P4*P5*P7 + P0*P1*P3*P4*P5*P8 + P0*P1*P3*P4*P5*P9 + P0*P1*P3*P4*P6*P7 + P0*P1*P3*P4*P6*P8 + P0*P1*P3*P4*P6*P9 + P0*P1*P3*P4*P7*P8 + P0*P1*P3*P4*P7*P9 + P0*P1*P3*P4*P8*P9 + P0*P1*P3*P5*P6*P7 + P0*P1*P3*P5*P6*P8 + P0*P1*P3*P5*P6*P9 + P0*P1*P3*P5*P7*P8 + P0*P1*P3*P5*P7*P9 + P0*P1*P3*P5*P8*P9 + P0*P1*P3*P6*P7*P8 + P0*P1*P3*P6*P7*P9 + P0*P1*P3*P6*P8*P9 + P0*P1*P3*P7*P8*P9 + P0*P1*P4*P5*P6*P7 + P0*P1*P4*P5*P6*P8 + P0*P1*P4*P5*P6*P9 + P0*P1*P4*P5*P7*P8 + P0*P1*P4*P5*P7*P9 + P0*P1*P4*P5*P8*P9 + P0*P1*P4*P6*P7*P8 + P0*P1*P4*P6*P7*P9 + P0*P1*P4*P6*P8*P9 + P0*P1*P4*P7*P8*P9 + P0*P1*P5*P6*P7*P8 + P0*P1*P5*P6*P7*P9 + P0*P1*P5*P6*P8*P9 + P0*P1*P5*P7*P8*P9 + P0*P1*P6*P7*P8*P9 + P0*P2*P3*P4*P5*P6 + P0*P2*P3*P4*P5*P7 + P0*P2*P3*P4*P5*P8 + P0*P2*P3*P4*P5*P9 + P0*P2*P3*P4*P6*P7 + P0*P2*P3*P4*P6*P8 + P0*P2*P3*P4*P6*P9 + P0*P2*P3*P4*P7*P8 + P0*P2*P3*P4*P7*P9 + P0*P2*P3*P4*P8*P9 + P0*P2*P3*P5*P6*P7 + P0*P2*P3*P5*P6*P8 + P0*P2*P3*P5*P6*P9 + P0*P2*P3*P5*P7*P8 + P0*P2*P3*P5*P7*P9 + P0*P2*P3*P5*P8*P9 + P0*P2*P3*P6*P7*P8 + P0*P2*P3*P6*P7*P9 + P0*P2*P3*P6*P8*P9 + P0*P2*P3*P7*P8*P9 + P0*P2*P4*P5*P6*P7 + P0*P2*P4*P5*P6*P8 + P0*P2*P4*P5*P6*P9 + P0*P2*P4*P5*P7*P8 + P0*P2*P4*P5*P7*P9 + P0*P2*P4*P5*P8*P9 + P0*P2*P4*P6*P7*P8 + P0*P2*P4*P6*P7*P9 + P0*P2*P4*P6*P8*P9 + P0*P2*P4*P7*P8*P9 + P0*P2*P5*P6*P7*P8 + P0*P2*P5*P6*P7*P9 + P0*P2*P5*P6*P8*P9 + P0*P2*P5*P7*P8*P9 + P0*P2*P6*P7*P8*P9 + P0*P3*P4*P5*P6*P7 + P0*P3*P4*P5*P6*P8 + P0*P3*P4*P5*P6*P9 + P0*P3*P4*P5*P7*P8 + P0*P3*P4*P5*P7*P9 + P0*P3*P4*P5*P8*P9 + P0*P3*P4*P6*P7*P8 + P0*P3*P4*P6*P7*P9 + P0*P3*P4*P6*P8*P9 + P0*P3*P4*P7*P8*P9 + P0*P3*P5*P6*P7*P8 + P0*P3*P5*P6*P7*P9 + P0*P3*P5*P6*P8*P9 + P0*P3*P5*P7*P8*P9 + P0*P3*P6*P7*P8*P9 + P0*P4*P5*P6*P7*P8 + P0*P4*P5*P6*P7*P9 + P0*P4*P5*P6*P8*P9 + P0*P4*P5*P7*P8*P9 + P0*P4*P6*P7*P8*P9 + P0*P5*P6*P7*P8*P9 + P1*P2*P3*P4*P5*P6 + P1*P2*P3*P4*P5*P7 + P1*P2*P3*P4*P5*P8 + P1*P2*P3*P4*P5*P9 + P1*P2*P3*P4*P6*P7 + P1*P2*P3*P4*P6*P8 + P1*P2*P3*P4*P6*P9 + P1*P2*P3*P4*P7*P8 + P1*P2*P3*P4*P7*P9 + P1*P2*P3*P4*P8*P9 + P1*P2*P3*P5*P6*P7 + P1*P2*P3*P5*P6*P8 + P1*P2*P3*P5*P6*P9 + P1*P2*P3*P5*P7*P8 + P1*P2*P3*P5*P7*P9 + P1*P2*P3*P5*P8*P9 + P1*P2*P3*P6*P7*P8 + P1*P2*P3*P6*P7*P9 + P1*P2*P3*P6*P8*P9 + P1*P2*P3*P7*P8*P9 + P1*P2*P4*P5*P6*P7 + P1*P2*P4*P5*P6*P8 + P1*P2*P4*P5*P6*P9 + P1*P2*P4*P5*P7*P8 + P1*P2*P4*P5*P7*P9 + P1*P2*P4*P5*P8*P9 + P1*P2*P4*P6*P7*P8 + P1*P2*P4*P6*P7*P9 + P1*P2*P4*P6*P8*P9 + P1*P2*P4*P7*P8*P9 + P1*P2*P5*P6*P7*P8 + P1*P2*P5*P6*P7*P9 + P1*P2*P5*P6*P8*P9 + P1*P2*P5*P7*P8*P9 + P1*P2*P6*P7*P8*P9 + P1*P3*P4*P5*P6*P7 + P1*P3*P4*P5*P6*P8 + P1*P3*P4*P5*P6*P9 + P1*P3*P4*P5*P7*P8 + P1*P3*P4*P5*P7*P9 + P1*P3*P4*P5*P8*P9 + P1*P3*P4*P6*P7*P8 + P1*P3*P4*P6*P7*P9 + P1*P3*P4*P6*P8*P9 + P1*P3*P4*P7*P8*P9 + P1*P3*P5*P6*P7*P8 + P1*P3*P5*P6*P7*P9 + P1*P3*P5*P6*P8*P9 + P1*P3*P5*P7*P8*P9 + P1*P3*P6*P7*P8*P9 + P1*P4*P5*P6*P7*P8 + P1*P4*P5*P6*P7*P9 + P1*P4*P5*P6*P8*P9 + P1*P4*P5*P7*P8*P9 + P1*P4*P6*P7*P8*P9 + P1*P5*P6*P7*P8*P9 + P2*P3*P4*P5*P6*P7 + P2*P3*P4*P5*P6*P8 + P2*P3*P4*P5*P6*P9 + P2*P3*P4*P5*P7*P8 + P2*P3*P4*P5*P7*P9 + P2*P3*P4*P5*P8*P9 + P2*P3*P4*P6*P7*P8 + P2*P3*P4*P6*P7*P9 + P2*P3*P4*P6*P8*P9 + P2*P3*P4*P7*P8*P9 + P2*P3*P5*P6*P7*P8 + P2*P3*P5*P6*P7*P9 + P2*P3*P5*P6*P8*P9 + P2*P3*P5*P7*P8*P9 + P2*P3*P6*P7*P8*P9 + P2*P4*P5*P6*P7*P8 + P2*P4*P5*P6*P7*P9 + P2*P4*P5*P6*P8*P9 + P2*P4*P5*P7*P8*P9 + P2*P4*P6*P7*P8*P9 + P2*P5*P6*P7*P8*P9 + P3*P4*P5*P6*P7*P8 + P3*P4*P5*P6*P7*P9 + P3*P4*P5*P6*P8*P9 + P3*P4*P5*P7*P8*P9 + P3*P4*P6*P7*P8*P9 + P3*P5*P6*P7*P8*P9 + P4*P5*P6*P7*P8*P9)
b7 = -(P0*P1*P2*P3*P4*P5*P6 + P0*P1*P2*P3*P4*P5*P7 + P0*P1*P2*P3*P4*P5*P8 + P0*P1*P2*P3*P4*P5*P9 + P0*P1*P2*P3*P4*P6*P7 + P0*P1*P2*P3*P4*P6*P8 + P0*P1*P2*P3*P4*P6*P9 + P0*P1*P2*P3*P4*P7*P8 + P0*P1*P2*P3*P4*P7*P9 + P0*P1*P2*P3*P4*P8*P9 + P0*P1*P2*P3*P5*P6*P7 + P0*P1*P2*P3*P5*P6*P8 + P0*P1*P2*P3*P5*P6*P9 + P0*P1*P2*P3*P5*P7*P8 + P0*P1*P2*P3*P5*P7*P9 + P0*P1*P2*P3*P5*P8*P9 + P0*P1*P2*P3*P6*P7*P8 + P0*P1*P2*P3*P6*P7*P9 + P0*P1*P2*P3*P6*P8*P9 + P0*P1*P2*P3*P7*P8*P9 + P0*P1*P2*P4*P5*P6*P7 + P0*P1*P2*P4*P5*P6*P8 + P0*P1*P2*P4*P5*P6*P9 + P0*P1*P2*P4*P5*P7*P8 + P0*P1*P2*P4*P5*P7*P9 + P0*P1*P2*P4*P5*P8*P9 + P0*P1*P2*P4*P6*P7*P8 + P0*P1*P2*P4*P6*P7*P9 + P0*P1*P2*P4*P6*P8*P9 + P0*P1*P2*P4*P7*P8*P9 + P0*P1*P2*P5*P6*P7*P8 + P0*P1*P2*P5*P6*P7*P9 + P0*P1*P2*P5*P6*P8*P9 + P0*P1*P2*P5*P7*P8*P9 + P0*P1*P2*P6*P7*P8*P9 + P0*P1*P3*P4*P5*P6*P7 + P0*P1*P3*P4*P5*P6*P8 + P0*P1*P3*P4*P5*P6*P9 + P0*P1*P3*P4*P5*P7*P8 + P0*P1*P3*P4*P5*P7*P9 + P0*P1*P3*P4*P5*P8*P9 + P0*P1*P3*P4*P6*P7*P8 + P0*P1*P3*P4*P6*P7*P9 + P0*P1*P3*P4*P6*P8*P9 + P0*P1*P3*P4*P7*P8*P9 + P0*P1*P3*P5*P6*P7*P8 + P0*P1*P3*P5*P6*P7*P9 + P0*P1*P3*P5*P6*P8*P9 + P0*P1*P3*P5*P7*P8*P9 + P0*P1*P3*P6*P7*P8*P9 + P0*P1*P4*P5*P6*P7*P8 + P0*P1*P4*P5*P6*P7*P9 + P0*P1*P4*P5*P6*P8*P9 + P0*P1*P4*P5*P7*P8*P9 + P0*P1*P4*P6*P7*P8*P9 + P0*P1*P5*P6*P7*P8*P9 + P0*P2*P3*P4*P5*P6*P7 + P0*P2*P3*P4*P5*P6*P8 + P0*P2*P3*P4*P5*P6*P9 + P0*P2*P3*P4*P5*P7*P8 + P0*P2*P3*P4*P5*P7*P9 + P0*P2*P3*P4*P5*P8*P9 + P0*P2*P3*P4*P6*P7*P8 + P0*P2*P3*P4*P6*P7*P9 + P0*P2*P3*P4*P6*P8*P9 + P0*P2*P3*P4*P7*P8*P9 + P0*P2*P3*P5*P6*P7*P8 + P0*P2*P3*P5*P6*P7*P9 + P0*P2*P3*P5*P6*P8*P9 + P0*P2*P3*P5*P7*P8*P9 + P0*P2*P3*P6*P7*P8*P9 + P0*P2*P4*P5*P6*P7*P8 + P0*P2*P4*P5*P6*P7*P9 + P0*P2*P4*P5*P6*P8*P9 + P0*P2*P4*P5*P7*P8*P9 + P0*P2*P4*P6*P7*P8*P9 + P0*P2*P5*P6*P7*P8*P9 + P0*P3*P4*P5*P6*P7*P8 + P0*P3*P4*P5*P6*P7*P9 + P0*P3*P4*P5*P6*P8*P9 + P0*P3*P4*P5*P7*P8*P9 + P0*P3*P4*P6*P7*P8*P9 + P0*P3*P5*P6*P7*P8*P9 + P0*P4*P5*P6*P7*P8*P9 + P1*P2*P3*P4*P5*P6*P7 + P1*P2*P3*P4*P5*P6*P8 + P1*P2*P3*P4*P5*P6*P9 + P1*P2*P3*P4*P5*P7*P8 + P1*P2*P3*P4*P5*P7*P9 + P1*P2*P3*P4*P5*P8*P9 + P1*P2*P3*P4*P6*P7*P8 + P1*P2*P3*P4*P6*P7*P9 + P1*P2*P3*P4*P6*P8*P9 + P1*P2*P3*P4*P7*P8*P9 + P1*P2*P3*P5*P6*P7*P8 + P1*P2*P3*P5*P6*P7*P9 + P1*P2*P3*P5*P6*P8*P9 + P1*P2*P3*P5*P7*P8*P9 + P1*P2*P3*P6*P7*P8*P9 + P1*P2*P4*P5*P6*P7*P8 + P1*P2*P4*P5*P6*P7*P9 + P1*P2*P4*P5*P6*P8*P9 + P1*P2*P4*P5*P7*P8*P9 + P1*P2*P4*P6*P7*P8*P9 + P1*P2*P5*P6*P7*P8*P9 + P1*P3*P4*P5*P6*P7*P8 + P1*P3*P4*P5*P6*P7*P9 + P1*P3*P4*P5*P6*P8*P9 + P1*P3*P4*P5*P7*P8*P9 + P1*P3*P4*P6*P7*P8*P9 + P1*P3*P5*P6*P7*P8*P9 + P1*P4*P5*P6*P7*P8*P9 + P2*P3*P4*P5*P6*P7*P8 + P2*P3*P4*P5*P6*P7*P9 + P2*P3*P4*P5*P6*P8*P9 + P2*P3*P4*P5*P7*P8*P9 + P2*P3*P4*P6*P7*P8*P9 + P2*P3*P5*P6*P7*P8*P9 + P2*P4*P5*P6*P7*P8*P9 + P3*P4*P5*P6*P7*P8*P9)
b8 = (P0*P1*P2*P3*P4*P5*P6*P7 + P0*P1*P2*P3*P4*P5*P6*P8 + P0*P1*P2*P3*P4*P5*P6*P9 + P0*P1*P2*P3*P4*P5*P7*P8 + P0*P1*P2*P3*P4*P5*P7*P9 + P0*P1*P2*P3*P4*P5*P8*P9 + P0*P1*P2*P3*P4*P6*P7*P8 + P0*P1*P2*P3*P4*P6*P7*P9 + P0*P1*P2*P3*P4*P6*P8*P9 + P0*P1*P2*P3*P4*P7*P8*P9 + P0*P1*P2*P3*P5*P6*P7*P8 + P0*P1*P2*P3*P5*P6*P7*P9 + P0*P1*P2*P3*P5*P6*P8*P9 + P0*P1*P2*P3*P5*P7*P8*P9 + P0*P1*P2*P3*P6*P7*P8*P9 + P0*P1*P2*P4*P5*P6*P7*P8 + P0*P1*P2*P4*P5*P6*P7*P9 + P0*P1*P2*P4*P5*P6*P8*P9 + P0*P1*P2*P4*P5*P7*P8*P9 + P0*P1*P2*P4*P6*P7*P8*P9 + P0*P1*P2*P5*P6*P7*P8*P9 + P0*P1*P3*P4*P5*P6*P7*P8 + P0*P1*P3*P4*P5*P6*P7*P9 + P0*P1*P3*P4*P5*P6*P8*P9 + P0*P1*P3*P4*P5*P7*P8*P9 + P0*P1*P3*P4*P6*P7*P8*P9 + P0*P1*P3*P5*P6*P7*P8*P9 + P0*P1*P4*P5*P6*P7*P8*P9 + P0*P2*P3*P4*P5*P6*P7*P8 + P0*P2*P3*P4*P5*P6*P7*P9 + P0*P2*P3*P4*P5*P6*P8*P9 + P0*P2*P3*P4*P5*P7*P8*P9 + P0*P2*P3*P4*P6*P7*P8*P9 + P0*P2*P3*P5*P6*P7*P8*P9 + P0*P2*P4*P5*P6*P7*P8*P9 + P0*P3*P4*P5*P6*P7*P8*P9 + P1*P2*P3*P4*P5*P6*P7*P8 + P1*P2*P3*P4*P5*P6*P7*P9 + P1*P2*P3*P4*P5*P6*P8*P9 + P1*P2*P3*P4*P5*P7*P8*P9 + P1*P2*P3*P4*P6*P7*P8*P9 + P1*P2*P3*P5*P6*P7*P8*P9 + P1*P2*P4*P5*P6*P7*P8*P9 + P1*P3*P4*P5*P6*P7*P8*P9 + P2*P3*P4*P5*P6*P7*P8*P9)
b9 = -(P0*P1*P2*P3*P4*P5*P6*P7*P8 + P0*P1*P2*P3*P4*P5*P6*P7*P9 + P0*P1*P2*P3*P4*P5*P6*P8*P9 + P0*P1*P2*P3*P4*P5*P7*P8*P9 + P0*P1*P2*P3*P4*P6*P7*P8*P9 + P0*P1*P2*P3*P5*P6*P7*P8*P9 + P0*P1*P2*P4*P5*P6*P7*P8*P9 + P0*P1*P3*P4*P5*P6*P7*P8*P9 + P0*P2*P3*P4*P5*P6*P7*P8*P9 + P1*P2*P3*P4*P5*P6*P7*P8*P9)
b10 = (P0*P1*P2*P3*P4*P5*P6*P7*P8*P9)
Here is the algorithm: http://home.hku.nl/~pieter.suurmond/EDU/mt/FilterCoeffCalc.c .
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