diff --git a/Tools/FMGenerateFilterCoefficients.py b/Tools/FMGenerateFilterCoefficients.py
index 7d8a3db..4eb81d8 100644
--- a/Tools/FMGenerateFilterCoefficients.py
+++ b/Tools/FMGenerateFilterCoefficients.py
@@ -17,30 +17,30 @@ f2 = 2700
 rp = 0.2
 
 # scaling factor in bits, do not change !
-q = 0
+q = 15
 # scaling factor as facor...
 scaling_factor = 2**q
 
 # let's generate a sequence of 2nd order IIR filters
 sos = signal.cheby1(3,rp,[f1, f2],'bandpass', output='sos', fs=fs)
-#sos = signal.cheby1(1, rp, 2122, 'lowpass', output='sos', fs=fs) #deemphasis filter
+#os = signal.cheby1(4, rp, f2, 'lowpass', output='sos', fs=fs) #deemphasis filter
 #sos = signal.cheby1(1, rp, 2122, 'highpass', output='sos', fs=fs) #deemphasis filter
 
-#sos = np.round((sos) * scaling_factor)
+sosrounded = np.round((sos) * scaling_factor)
 
 # print coefficients
-for biquad in sos:
+for biquad in sosrounded:
     for coeff in biquad:
-        #print(int(coeff),",",sep="",end="")
-        print((coeff),",",sep="",end="")
+        print(int(coeff),",",sep="",end="")
+        #print((coeff),",",sep="",end="")
     print("")
 
 # plot the frequency response
 b,a = signal.sos2tf(sos)
-w,h = signal.freqz(b,a)
+w,h = signal.freqz(b,a, worN=2048)
 pl.plot(w/np.pi/2*fs,20*np.log(np.abs(h)))
 pl.xlabel('frequency/Hz');
 pl.ylabel('gain/dB');
-pl.ylim(top=1,bottom=-20);
+pl.ylim(top=1,bottom=-30);
 pl.xlim(left=250, right=12000);
 pl.show()
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