mid_atom.synthesize()
long_atom.synthesize()
# Initialize empty approximant
approx = approx.Approx(
None, [], None, long_atom.length, long_atom.fs)
print approx
# add atoms
approx.add(long_atom)
print approx
approx.add(short_atom)
approx.add(mid_atom)
timeVec = np.arange(approx.length) / float(approx.fs)
# Plot the recomposed Signal, both in time domain and Time-Frequency
plt.figure()
plt.subplot(211)
plt.plot(timeVec, approx.recomposed_signal.data)
plt.xlim([0, float(approx.length) / float(approx.fs)])
plt.grid()
plt.subplot(212)
approx.plot_tf(french=False, patchColor=(0, 0, 0))
plt.grid()
# plt.savefig(figurePath+'Example_3atoms_mdct.pdf',dpi=300)
plt.show()
def main(argv):
try:
opts, args = getopt.getopt(argv, "hk:apt:bf:wo:m:s:d:l:", [
"help", "debug=", "pad", "plot", "type=", "pipe"])
except getopt.GetoptError:
usage()
sys.exit(2)
# initialize default values
global _debug
_debug = 0
file_path = ''
write = False
plot = False
out_path = 'output.xml'
max_it_num = 100
target_srr = 10
pad = True
dec_algo = 'mp'
scales = [2 ** j for j in range(7, 15)]
matpipe = False
seg_length = 10
# argument parsing
try:
for opt, arg in opts:
# print opt, arg
if opt in ("-h", "--help"):
usage()
sys.exit()
elif opt in ("-b", "--pipe"):
matpipe = True
# set debug level
elif opt == "--debug":
_debug = int(arg)
elif opt == '-f':
file_path = arg
elif opt == '-w':
write = True
elif opt in ("-p", "--plot"):
plot = True
elif opt == '-o':
out_path = arg
elif opt == '-m':
max_it_num = int(arg)
elif opt == '-s':
target_srr = int(arg)
elif opt == '-l':
seg_length = float(arg)
# tricky dictionary sizes reading
elif opt == '-d':
scales = []
# print arg
for size in arg.split(','):
# print size
scales.append(int(size))
elif opt in ('-a', '--pad'):
pad = True
elif opt in ('-t , --type'):
dec_algo = arg
except:
print "sorry wrong syntax "
usage()
sys.exit()
# end of argument parsing : print some info if debug level is above 0
if _debug > 0:
print "Starting ", dec_algo, " on ", file_path, " target_srr: ", target_srr, " max_it_num: ", max_it_num, " on ", len(scales), "xMDCT dico"
print "debug=", _debug, "- Write ", prtBool(
write), " - Plot : ", prtBool(plot)
####### Load audio signal - TODO more options ##########"""
# originalSignal = py_pursuit_Signal.InitFromFile(file_path, forceMono=True,
# doNormalize=True)
longSignal = signals.LongSignal(
file_path, frameDuration=seg_length)
# now crop the signal to an adequate length
# originalSignal.crop(0 , math.floor(originalSignal.length/max(scales)) *
# max(scales))
#
# if _debug > 0:
# print "Cropping signal to ", originalSignal.length
####### Build dictionary - TODO more options and more dictionaries ########
if dec_algo == 'mp':
dictionary = Dico(scales)
elif dec_algo == 'LOMP':
dictionary = LODico(scales)
elif dec_algo == 'RSSMP':
dictionary = SequenceDico(scales)
else:
print "unrecognized dictionary type for now, availables are mp and LOMP"
sys.exit()
# main Decomposition algorithm
if _debug > 0:
print target_srr, max_it_num
# additional parameter: segment length analysis and overlapping
#segmentOverlap = 0.25 # in per one
# segPad = math.floor(seg_length * originalSignal.samplingFrequency
# /max(scales)) * max(scales); # increment in samples
#
# # calcul of the number of segment needed
# n_seg = int(math.floor(originalSignal.length / segPad))
segmentNumber = longSignal.n_seg
if _debug > 0:
print segmentNumber, " segments"
# the max_it_num is fixed in all segments
# initialize approx
# approx = py_pursuit_Approx.py_pursuit_Approx(dictionary, [], None,
# originalSignal.length + dictionary.getN(), originalSignal.samplingFrequency)
approxs = mp.mp_long(longSignal, dictionary, target_srr, max_it_num,
debug=_debug - 1, pad=pad, output_dir='', write=False)[0]
# for segidx in range(n_seg):
# if _debug >0:
# print "Starting work on segment " , segidx;
#
# subSignal = longSignal.getSubSignal(segidx, 1,)
#
## if segidx == 8:
## _debug =2;
## else:
## _debug=1;
# subApprox = mp.mp(subSignal,dictionary,target_srr, max_it_num,
# debug=_debug-1,pad=pad, silentFail=True)[0]
# # add all atoms to overall approx
# for atom in subApprox.atoms:
# atom.timePosition += segPad*segidx
#
# # BUGFIX on the approx length due to padding
## approx.addAtom(atom)
# approx.atoms.append(atom) # no need to add it to the recomposed signal if no
# synthesis
# Fusion the sub approximants
approx = approx.fusion_approxs(approxs, unPad=pad)
if write:
if _debug > 0:
print "Writing to output file :", out_path
approx.original_signal = longSignal
approx.dumpToDisk(out_path)
# approx.writeToXml(out_path)
if plot:
plt.figure()
approx.plot_tf()
plt.show()
# end of program
if _debug > 0:
print "Exiting"
# addon for matlab interface: outputs all the coeff
if matpipe:
for atom in approx.atoms:
print atom.length, atom.freq_bin, atom.time_position
