Add verbosity.

applications/lofar2/model/rtdsp/multirate.py

@@ -134,7 +134,7 @@ class PolyPhaseFirFilterStructure:
         return outData
 
 
-def upsample(x, Nup, coefs, verify=False):  # interpolate
+def upsample(x, Nup, coefs, verify=False, verbosity=1):  # interpolate
     """Upsample x by factor I = Nup
 
     Input:
@@ -143,6 +143,7 @@ def upsample(x, Nup, coefs, verify=False):  # interpolate
     . coefs: FIR filter coefficients for antialiasing LPF
     . verify: when True then verify that output y is the same when calculated directly or when calculated using the
               polyphase implementation.
+    - verbosity: when > 0 print() status, else no print()
     Return:
     . y: Upsampled output signal y[m]
 
@@ -242,15 +243,16 @@ def upsample(x, Nup, coefs, verify=False):  # interpolate
         else:
             print('ERROR: wrong upsample result')
 
-    print('> upsample():')
-    print('. Nup = ' + str(Nup))
-    print('. Nx = ' + str(Nx))
-    print('. len(y) = ' + str(len(y)))
-    print('')
+    if verbosity:
+        print('> upsample():')
+        print('. Nup = ' + str(Nup))
+        print('. Nx = ' + str(Nx))
+        print('. len(y) = ' + str(len(y)))
+        print('')
     return y
 
 
-def downsample(x, Ndown, coefs, verify=False):  # decimate
+def downsample(x, Ndown, coefs, verify=False, verbosity=1):  # decimate
     """Downsample x by factor D = Ndown up
 
     Input:
@@ -259,6 +261,7 @@ def downsample(x, Ndown, coefs, verify=False):  # decimate
     . coefs: FIR filter coefficients for antialiasing LPF
     . verify: when True then verify that output y is the same when calculated directly or when calculated using the
               polyphase implementation.
+    - verbosity: when > 0 print() status, else no print()
     Return:
     . y: Downsampled output signal y[m]
 
@@ -368,17 +371,18 @@ def downsample(x, Ndown, coefs, verify=False):  # decimate
         else:
             print('ERROR: wrong downsample result')
 
-    print('> downsample():')
-    print('. len(x) = ' + str(len(x)))
-    print('. Ndown = ' + str(Ndown))
-    print('. Nx = ' + str(Nx))
-    print('. Nxp = ' + str(Nxp))
-    print('. len(y) = ' + str(len(y)))  # = Nxp
-    print('')
+    if verbosity:
+        print('> downsample():')
+        print('. len(x) = ' + str(len(x)))
+        print('. Ndown = ' + str(Ndown))
+        print('. Nx = ' + str(Nx))
+        print('. Nxp = ' + str(Nxp))
+        print('. len(y) = ' + str(len(y)))  # = Nxp
+        print('')
     return y
 
 
-def resample(x, Nup, Ndown, coefs, verify=False):  # interpolate and decimate by Nup / Ndown
+def resample(x, Nup, Ndown, coefs, verify=False, verbosity=1):  # interpolate and decimate by Nup / Ndown
     """Resample x by factor I / D = Nup / Ndown
 
     x[n] --> Nup --> v[m] --> LPF --> w[m] --> Ndown --> y[k]
@@ -408,6 +412,7 @@ def resample(x, Nup, Ndown, coefs, verify=False):  # interpolate and decimate by
     . coefs: FIR filter coefficients for antialiasing LPF
     . verify: when True then verify that output y is the same when calculated directly or when calculated using the
               polyphase implementation.
+    - verbosity: when > 0 print() status, else no print()
     Return:
     . y: Resampled output signal y[m]
 
@@ -458,12 +463,13 @@ def resample(x, Nup, Ndown, coefs, verify=False):  # interpolate and decimate by
         else:
             print('ERROR: wrong resample result')
 
-    print('> resample():')
-    print('. len(x) = ' + str(len(x)))
-    print('. Nx = ' + str(Nx))
-    print('. len(v) = ' + str(len(v)))
-    print('. Ny = ' + str(Ny))
-    print('. Nyp = ' + str(Nyp))
-    print('. len(y) = ' + str(len(y)))
-    print('')
+    if verbosity:
+        print('> resample():')
+        print('. len(x) = ' + str(len(x)))
+        print('. Nx = ' + str(Nx))
+        print('. len(v) = ' + str(len(v)))
+        print('. Ny = ' + str(Ny))
+        print('. Nyp = ' + str(Nyp))
+        print('. len(y) = ' + str(len(y)))
+        print('')
     return y