diff --git a/CygnusRFI.py b/CygnusRFI.py
index 9074f8c..ac4b42a 100644
--- a/CygnusRFI.py
+++ b/CygnusRFI.py
@@ -1,99 +1,99 @@
-#!/usr/bin/env python
-import os
-import sys
-import argparse
-from time import sleep
-
-# Define argparse arguments
-parser = argparse.ArgumentParser()
-
-parser.add_argument("-b", "--bandwidth", type=str, required=True)
-parser.add_argument("-c", "--channels", type=str, default=1024)
-parser.add_argument("-t", "--t_int", type=str, default=0.1)
-parser.add_argument("-d", "--duration", type=str, required=True)
-parser.add_argument("-f", "--fmin", type=float, required=True)
-parser.add_argument("-F", "--fmax", type=float, required=True)
-
-args = parser.parse_args()
-
-bandwidth=args.bandwidth
-channels=args.channels
-t_int=args.t_int
-duration=args.duration
-fmin=args.fmin
-fmax=args.fmax
-
-#Define GRC observation parameters
-bandwidth = str(bandwidth)
-channels = str(channels)
-t_int = str(t_int)
-duration = str(duration)
-fmin = float(fmin)
-fmax = float(fmax)
-
-nbins = str(int(float(t_int) * float(bandwidth)/float(channels)))
-
-#Delete pre-existing observation.dat file
-for file_name in os.listdir('.'):
-    if file_name.endswith('.dat'):
-        try:
-            os.remove(file_name)
-        except OSError:
-            pass
-try:
-    os.remove('rfi_plot.png')
-except OSError:
-    pass
-
-print('\n\033[1;33;48m+=================================================================+')
-print('\033[1;33;48m| \033[1;36;48mCygnusRFI\033[1;33;48m:\033[1;32;48m An open-source Radio Frequency Interference analyzer\033[1;33;48m |')
-print('\033[1;33;48m+=================================================================+')
-sleep(0.5)
-print('\n\033[1;33;48m\033[4;33;48mRFI Measurement Parameters:\033[0;32;48m')
-sleep(0.15)
-print(('\033[1;32;48mFrequency range to scan: \033[1;36;48m'+str(float(fmin)/1000000)+'-'+str(float(fmax)/1000000)+' MHz'))
-sleep(0.15)
-print(('\033[1;32;48mBandwidth per spectrum: \033[1;36;48m'+str(float(bandwidth)/1000000)+' MHz'))
-sleep(0.15)
-print(('\033[1;32;48mIntegration time per spectrum: \033[1;36;48m'+duration+' sec'))
-sleep(0.15)
-print(('\033[1;32;48mNumber of channels per spectrum (FFT Size should be a power of 2): \033[1;36;48m'+str(channels)))
-sleep(0.15)
-print(('\033[1;32;48mIntegration time per FFT sample: \033[1;36;48m'+t_int+' sec'))
-sleep(0.5)
-print(("\n\033[1;32;48mEstimated completion time: \033[1;36;48m"+str(float(duration)*float(fmax-fmin)/float(bandwidth))+" sec"))
-
-sleep(0.5)
-#proceed = eval(input("\n\033[1;36;48mProceed to measurement? [Y/n]: \033[1;33;48m"))
-proceed = 'Y'
-
-if proceed.lower() != 'n' and proceed.lower() != 'no':
-    print('\n\033[1;33;48m+=================================================================+')
-    print('\033[1;33;48m| [+] \033[1;32;48m Starting measurement...\033[1;33;48m                                    |')
-    print('\033[1;33;48m+=================================================================+\n')
-    
-    q=0
-    for freq in range(int(fmin), int(fmax), int(float(bandwidth))):
-        print(("\033[1;33;48m\n---------------------------------------------------------------------------\n  \033[1;33;48m[*] \033[1;32;48mCurrently monitoring f_center = "+str(0.000001*freq)+" +/- "+str(float(float(bandwidth)*0.000001)/2)+" MHz (iteration: "+str(q)+")...\n\033[1;33;48m---------------------------------------------------------------------------"))
-        
-        #Define observation frequency
-        f_center = str(freq)
-        
-        #Execute top_block.py with parameters
-        print('\033[0m')
-        sys.argv = ['top_block.py', '--c-freq='+f_center, '--samp-rate='+bandwidth, '--nchan='+channels, '--nbin='+nbins, '--obs-time='+duration]
-        exec(compile(open('top_block.py', "rb").read(), 'top_block.py', 'exec'))
-        os.rename('observation.dat', str(q)+'.dat')
-        
-        q = q+1
-    print('\n\033[1;33;48m+=================================================================+')
-    print('\033[1;33;48m| \033[1;32;48mMeasurement finished!\033[1;33;48m                                           |')
-    print('\033[1;33;48m+=================================================================+\n')
-    
-    f_center = str(fmin)
-    sys.argv = ['rfi_plotter.py', 'freq='+f_center, 'samp_rate='+bandwidth, 'nchan='+channels, 'nbin='+nbins, 'n='+str(q), 'dur='+duration, 'fminimum='+str(fmin), 'fmaximum='+str(fmax)]
-    exec(compile(open('rfi_plotter.py', "rb").read(), 'rfi_plotter.py', 'exec'))
-    
-    print('\033[1;32;48mYour data has been saved as \033[1;36;48mrfi_plot.png\033[1;32;48m.')
-else:
-    print('\n\033[1;31;48m[!] Exiting...\n')
+#!/usr/bin/env python
+import os
+import sys
+import argparse
+from time import sleep
+
+# Define argparse arguments
+parser = argparse.ArgumentParser()
+
+parser.add_argument("-b", "--bandwidth", type=str, required=True)
+parser.add_argument("-c", "--channels", type=str, default=1024)
+parser.add_argument("-t", "--t_int", type=str, default=0.1)
+parser.add_argument("-d", "--duration", type=str, required=True)
+parser.add_argument("-f", "--fmin", type=float, required=True)
+parser.add_argument("-F", "--fmax", type=float, required=True)
+
+args = parser.parse_args()
+
+bandwidth=args.bandwidth
+channels=args.channels
+t_int=args.t_int
+duration=args.duration
+fmin=args.fmin
+fmax=args.fmax
+
+#Define GRC observation parameters
+bandwidth = str(bandwidth)
+channels = str(channels)
+t_int = str(t_int)
+duration = str(duration)
+fmin = float(fmin)
+fmax = float(fmax)
+
+nbins = str(int(float(t_int) * float(bandwidth)/float(channels)))
+
+#Delete pre-existing observation.dat file
+for file_name in os.listdir('.'):
+    if file_name.endswith('.dat'):
+        try:
+            os.remove(file_name)
+        except OSError:
+            pass
+try:
+    os.remove('rfi_plot.png')
+except OSError:
+    pass
+
+print('\n\033[1;33;48m+=================================================================+')
+print('\033[1;33;48m| \033[1;36;48mCygnusRFI\033[1;33;48m:\033[1;32;48m An open-source Radio Frequency Interference analyzer\033[1;33;48m |')
+print('\033[1;33;48m+=================================================================+')
+sleep(0.5)
+print('\n\033[1;33;48m\033[4;33;48mRFI Measurement Parameters:\033[0;32;48m')
+sleep(0.15)
+print(('\033[1;32;48mFrequency range to scan: \033[1;36;48m'+str(float(fmin)/1000000)+'-'+str(float(fmax)/1000000)+' MHz'))
+sleep(0.15)
+print(('\033[1;32;48mBandwidth per spectrum: \033[1;36;48m'+str(float(bandwidth)/1000000)+' MHz'))
+sleep(0.15)
+print(('\033[1;32;48mIntegration time per spectrum: \033[1;36;48m'+duration+' sec'))
+sleep(0.15)
+print(('\033[1;32;48mNumber of channels per spectrum (FFT Size should be a power of 2): \033[1;36;48m'+str(channels)))
+sleep(0.15)
+print(('\033[1;32;48mIntegration time per FFT sample: \033[1;36;48m'+t_int+' sec'))
+sleep(0.5)
+print(("\n\033[1;32;48mEstimated completion time: \033[1;36;48m"+str(float(duration)*float(fmax-fmin)/float(bandwidth))+" sec"))
+
+sleep(0.5)
+#proceed = eval(input("\n\033[1;36;48mProceed to measurement? [Y/n]: \033[1;33;48m"))
+proceed = 'Y'
+
+if proceed.lower() != 'n' and proceed.lower() != 'no':
+    print('\n\033[1;33;48m+=================================================================+')
+    print('\033[1;33;48m| [+] \033[1;32;48m Starting measurement...\033[1;33;48m                                    |')
+    print('\033[1;33;48m+=================================================================+\n')
+    
+    q=0
+    for freq in range(int(fmin), int(fmax), int(float(bandwidth))):
+        print(("\033[1;33;48m\n---------------------------------------------------------------------------\n  \033[1;33;48m[*] \033[1;32;48mCurrently monitoring f_center = "+str(0.000001*freq)+" +/- "+str(float(float(bandwidth)*0.000001)/2)+" MHz (iteration: "+str(q)+")...\n\033[1;33;48m---------------------------------------------------------------------------"))
+        
+        #Define observation frequency
+        f_center = str(freq)
+        
+        #Execute top_block.py with parameters
+        print('\033[0m')
+        sys.argv = ['top_block.py', '--c-freq='+f_center, '--samp-rate='+bandwidth, '--nchan='+channels, '--nbin='+nbins, '--obs-time='+duration]
+        exec(compile(open('top_block.py', "rb").read(), 'top_block.py', 'exec'))
+        os.rename('observation.dat', str(q)+'.dat')
+        
+        q = q+1
+    print('\n\033[1;33;48m+=================================================================+')
+    print('\033[1;33;48m| \033[1;32;48mMeasurement finished!\033[1;33;48m                                           |')
+    print('\033[1;33;48m+=================================================================+\n')
+    
+    f_center = str(fmin)
+    sys.argv = ['rfi_plotter.py', 'freq='+f_center, 'samp_rate='+bandwidth, 'nchan='+channels, 'nbin='+nbins, 'n='+str(q), 'dur='+duration, 'fminimum='+str(fmin), 'fmaximum='+str(fmax)]
+    exec(compile(open('rfi_plotter.py', "rb").read(), 'rfi_plotter.py', 'exec'))
+    
+    print('\033[1;32;48mYour data has been saved as \033[1;36;48mrfi_plot.png\033[1;32;48m.')
+else:
+    print('\n\033[1;31;48m[!] Exiting...\n')
diff --git a/rfi_plotter.py b/rfi_plotter.py
index cb9de01..03fa0d0 100644
--- a/rfi_plotter.py
+++ b/rfi_plotter.py
@@ -1,91 +1,91 @@
-#!/usr/bin/env python
-try:
-    import matplotlib
-    matplotlib.use('Agg')
-    
-    import numpy as np
-    import matplotlib.pyplot as plt
-    plt.rcParams.update({'font.size': 32})
-    import argparse
-    from matplotlib.gridspec import GridSpec
-    
-    parser = argparse.ArgumentParser()
-    parser.add_argument('freq')
-    parser.add_argument('samp_rate')
-    parser.add_argument('nchan')
-    parser.add_argument('nbin')
-    parser.add_argument('n')
-    parser.add_argument('dur')
-    parser.add_argument('fminimum')
-    parser.add_argument('fmaximum')
-    args = parser.parse_args()
-    
-    def decibel(x):
-        return 10.0*np.log10(x)
-        #return x
-    
-    if __name__ == "__main__":
-        #Observation parameters
-        exec(args.freq)
-        exec(args.samp_rate)
-        exec(args.nchan)
-        exec(args.nbin)
-        exec(args.n)
-        exec(args.dur)
-        exec(args.fminimum)
-        exec(args.fmaximum)
-        
-        frequency=freq
-        
-        #Load data
-        z=1000*(np.fromfile("0.dat", dtype="float32").reshape(-1, nchan)/nbin)
-        allarrays=[]
-        
-        #N = amount of .dat files
-        for i in range(int(n)):
-            final = 1000*(np.fromfile(str(i)+".dat", dtype="float32").reshape(-1, nchan)/nbin)
-            allarrays.append(final)
-        z_final = np.concatenate(allarrays,axis=1)
-        
-        #Number of sub-integrations
-        nsub = z_final.shape[0]
-        
-        #Compute average spectrum
-        zmean = np.mean(z_final, axis=0)
-        
-        #Compute time axis
-        tint = float(nbin*nchan)/samp_rate
-        t = tint*np.arange(nsub)
-        
-        #Compute frequency axis (convert to MHz)
-        allfreq=[]
-        for i in range(int(n)):
-            freq = np.linspace((frequency+samp_rate*i)-0.5*samp_rate, (frequency+samp_rate*i)+0.5*samp_rate, nchan, endpoint=False)*1e-6
-            allfreq.append(freq)
-        freq = np.concatenate(allfreq)
-        
-        #Initialize plot
-        fig = plt.figure(figsize=(5*n,20.25))
-        gs = GridSpec(1,1)
-                
-        #Plot average spectrum
-        ax1 = fig.add_subplot(gs[0,0])
-        ax1.plot(freq, decibel(zmean), '#3182bd')
-        ax1.fill_between(freq, decibel(zmean), color='#deebf7')
-        ax1.set_xlim(np.min(freq), np.max(freq)) #np.min(freq), np.max(freq)
-        ax1.set_ylim(np.amin(decibel(zmean))-0.5, np.amin(decibel(zmean))+15)
-        ax1.ticklabel_format(useOffset=False)
-        ax1.set_xlabel("Frequency (MHz)", labelpad=25)
-        ax1.set_ylabel("Relative Power (dB)", labelpad=25)
-        try:
-            ax1.set_title("\nAveraged RFI Spectrum", pad=25)
-        except:
-            ax1.set_title("\nAveraged RFI Spectrum")
-        ax1.annotate('Frequency range scanned: '+str(float(fminimum)/1000000)+'-'+str(float(fmaximum)/1000000)+' MHz ($\\Delta\\nu$ = '+str(float((fmaximum)-float(fminimum))/1000000)+' MHz)\nBandwidth per spectrum: '+str(float(samp_rate)/1000000)+' MHz\nIntegration time per spectrum: '+str(dur)+" sec\nNumber of channels per spectrum (FFT size): "+str(nchan), xy=(17, 1179), xycoords='axes points', size=32, ha='left', va='top', color='brown')
-        ax1.grid()
-        
-        plt.tight_layout()
-        plt.savefig("rfi_plot.png")
-except Exception as e:
-    print(e)
-    pass
+#!/usr/bin/env python
+try:
+    import matplotlib
+    matplotlib.use('Agg')
+    
+    import numpy as np
+    import matplotlib.pyplot as plt
+    plt.rcParams.update({'font.size': 32})
+    import argparse
+    from matplotlib.gridspec import GridSpec
+    
+    parser = argparse.ArgumentParser()
+    parser.add_argument('freq')
+    parser.add_argument('samp_rate')
+    parser.add_argument('nchan')
+    parser.add_argument('nbin')
+    parser.add_argument('n')
+    parser.add_argument('dur')
+    parser.add_argument('fminimum')
+    parser.add_argument('fmaximum')
+    args = parser.parse_args()
+    
+    def decibel(x):
+        return 10.0*np.log10(x)
+        #return x
+    
+    if __name__ == "__main__":
+        #Observation parameters
+        exec(args.freq)
+        exec(args.samp_rate)
+        exec(args.nchan)
+        exec(args.nbin)
+        exec(args.n)
+        exec(args.dur)
+        exec(args.fminimum)
+        exec(args.fmaximum)
+        
+        frequency=freq
+        
+        #Load data
+        z=1000*(np.fromfile("0.dat", dtype="float32").reshape(-1, nchan)/nbin)
+        allarrays=[]
+        
+        #N = amount of .dat files
+        for i in range(int(n)):
+            final = 1000*(np.fromfile(str(i)+".dat", dtype="float32").reshape(-1, nchan)/nbin)
+            allarrays.append(final)
+        z_final = np.concatenate(allarrays,axis=1)
+        
+        #Number of sub-integrations
+        nsub = z_final.shape[0]
+        
+        #Compute average spectrum
+        zmean = np.mean(z_final, axis=0)
+        
+        #Compute time axis
+        tint = float(nbin*nchan)/samp_rate
+        t = tint*np.arange(nsub)
+        
+        #Compute frequency axis (convert to MHz)
+        allfreq=[]
+        for i in range(int(n)):
+            freq = np.linspace((frequency+samp_rate*i)-0.5*samp_rate, (frequency+samp_rate*i)+0.5*samp_rate, nchan, endpoint=False)*1e-6
+            allfreq.append(freq)
+        freq = np.concatenate(allfreq)
+        
+        #Initialize plot
+        fig = plt.figure(figsize=(5*n,20.25))
+        gs = GridSpec(1,1)
+                
+        #Plot average spectrum
+        ax1 = fig.add_subplot(gs[0,0])
+        ax1.plot(freq, decibel(zmean), '#3182bd')
+        ax1.fill_between(freq, decibel(zmean), color='#deebf7')
+        ax1.set_xlim(np.min(freq), np.max(freq)) #np.min(freq), np.max(freq)
+        ax1.set_ylim(np.amin(decibel(zmean))-0.5, np.amin(decibel(zmean))+15)
+        ax1.ticklabel_format(useOffset=False)
+        ax1.set_xlabel("Frequency (MHz)", labelpad=25)
+        ax1.set_ylabel("Relative Power (dB)", labelpad=25)
+        try:
+            ax1.set_title("\nAveraged RFI Spectrum", pad=25)
+        except:
+            ax1.set_title("\nAveraged RFI Spectrum")
+        ax1.annotate('Frequency range scanned: '+str(float(fminimum)/1000000)+'-'+str(float(fmaximum)/1000000)+' MHz ($\\Delta\\nu$ = '+str(float((fmaximum)-float(fminimum))/1000000)+' MHz)\nBandwidth per spectrum: '+str(float(samp_rate)/1000000)+' MHz\nIntegration time per spectrum: '+str(dur)+" sec\nNumber of channels per spectrum (FFT size): "+str(nchan), xy=(17, 1179), xycoords='axes points', size=32, ha='left', va='top', color='brown')
+        ax1.grid()
+        
+        plt.tight_layout()
+        plt.savefig("rfi_plot.png")
+except Exception as e:
+    print(e)
+    pass