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-rw-r--r--gnuradio-core/src/python/gnuradio/blksimpl/cpm.py14
1 files changed, 7 insertions, 7 deletions
diff --git a/gnuradio-core/src/python/gnuradio/blksimpl/cpm.py b/gnuradio-core/src/python/gnuradio/blksimpl/cpm.py
index e6da34a1fd..8463c2c8a6 100644
--- a/gnuradio-core/src/python/gnuradio/blksimpl/cpm.py
+++ b/gnuradio-core/src/python/gnuradio/blksimpl/cpm.py
@@ -2,7 +2,7 @@
# CPM modulation and demodulation.
#
#
-# Copyright 2005,2006 Free Software Foundation, Inc.
+# Copyright 2005,2006,2007 Free Software Foundation, Inc.
#
# This file is part of GNU Radio
#
@@ -27,7 +27,7 @@
from gnuradio import gr
from gnuradio import modulation_utils
from math import pi
-import Numeric
+import numpy
from pprint import pprint
import inspect
@@ -39,7 +39,7 @@ _def_h_denominator = 2
_def_cpm_type = 0 # 0=CPFSK, 1=GMSK, 2=RC, 3=GENERAL
_def_bt = 0.35
_def_symbols_per_pulse = 1
-_def_generic_taps = Numeric.empty(1)
+_def_generic_taps = numpy.empty(1)
_def_verbose = False
_def_log = False
@@ -113,13 +113,13 @@ class cpm_mod(gr.hier_block):
else:
raise TypeError, ("cpm_type must be an integer in {0,1,2,3}, is %r" % (cpm_type,))
- self._generic_taps=Numeric.array(generic_taps)
+ self._generic_taps=numpy.array(generic_taps)
if not isinstance(samples_per_symbol, int) or samples_per_symbol < 2:
raise TypeError, ("samples_per_symbol must be an integer >= 2, is %r" % (samples_per_symbol,))
self.nsymbols = 2**bits_per_symbol
- self.sym_alphabet=Numeric.arrayrange(-(self.nsymbols-1),self.nsymbols,2)
+ self.sym_alphabet=numpy.arange(-(self.nsymbols-1),self.nsymbols,2)
self.ntaps = self._symbols_per_pulse * samples_per_symbol
@@ -143,10 +143,10 @@ class cpm_mod(gr.hier_block):
self.ntaps # number of taps
)
sqwave = (1,) * samples_per_symbol # rectangular window
- self.taps = Numeric.convolve(Numeric.array(gaussian_taps),Numeric.array(sqwave))
+ self.taps = numpy.convolve(numpy.array(gaussian_taps),numpy.array(sqwave))
elif cpm_type == 2: # Raised Cosine
# generalize it for arbitrary roll-off factor
- self.taps = (1-Numeric.cos(2*pi*Numeric.arrayrange(0,self.ntaps)/samples_per_symbol/self._symbols_per_pulse))/(2*self._symbols_per_pulse)
+ self.taps = (1-numpy.cos(2*pi*numpy.arange(0,self.ntaps)/samples_per_symbol/self._symbols_per_pulse))/(2*self._symbols_per_pulse)
elif cpm_type == 3: # Generic CPM
self.taps = generic_taps
else: