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]
 
@@ -242,6 +243,7 @@ def upsample(x, Nup, coefs, verify=False):  # interpolate
         else:
             print('ERROR: wrong upsample result')
 
+    if verbosity:
         print('> upsample():')
         print('. Nup = ' + str(Nup))
         print('. Nx = ' + str(Nx))
@@ -250,7 +252,7 @@ def upsample(x, Nup, coefs, verify=False):  # interpolate
     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]
 
@@ -368,6 +371,7 @@ def downsample(x, Ndown, coefs, verify=False):  # decimate
         else:
             print('ERROR: wrong downsample result')
 
+    if verbosity:
         print('> downsample():')
         print('. len(x) = ' + str(len(x)))
         print('. Ndown = ' + str(Ndown))
@@ -378,7 +382,7 @@ def downsample(x, Ndown, coefs, verify=False):  # decimate
     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]
 
@@ -458,6 +463,7 @@ def resample(x, Nup, Ndown, coefs, verify=False):  # interpolate and decimate by
         else:
             print('ERROR: wrong resample result')
 
+    if verbosity:
         print('> resample():')
         print('. len(x) = ' + str(len(x)))
         print('. Nx = ' + str(Nx))