if noise_power == None:
fig_title = 'ASDM Input Signal with No Noise'
else:
fig_title = 'ASDM Input Signal with %d dB of Noise' % noise_power
print fig_title
u = func_timer(bl.gen_band_limited)(dur, dt, f, noise_power)
pl.plot_signal(t, u, fig_title, output_name + str(output_count) + output_ext)
b = 3.5 # bias
d = 0.7 # threshold
k = 0.01 # scaling factor
M = 5 # number of bins for fast decoding algorithm
try:
asdm.asdm_recoverable(u, bw, b, d, k)
except ValueError('reconstruction condition not satisfied'):
sys.exit()
output_count += 1
fig_title = 'Signal Encoded Using ASDM Encoder'
print fig_title
s = func_timer(asdm.asdm_encode)(u, dt, b, d, k)
pl.plot_encoded(t, u, s, fig_title,
output_name + str(output_count) + output_ext)
output_count += 1
fig_title = 'Signal Decoded Using ASDM Decoder'
print fig_title
u_rec = func_timer(asdm.asdm_decode)(s, dur, dt, bw, b, d, k)
pl.plot_compare(t, u, u_rec, fig_title,
# Define encoding parameters:
dte = dt
quad_method = 'trapz'
b = 3.5 # bias
d = 0.7 # threshold
k = 0.01 # scaling factor
# Define real time decoder stitching parameters:
N = 10
M = 2
K = 1
try:
asdm.asdm_recoverable(u, bw, b, d, k)
except ValueError('reconstruction condition not satisfied'):
sys.exit()
output_count += 1
fig_title = 'Signal Encoded Using Real-Time ASDM Encoder'
print fig_title
encoder = rt.ASDMRealTimeEncoder(dt, b, d, k)
s = func_timer(encoder)(u)
pl.plot_encoded(t, u, s, fig_title,
output_name + str(output_count) + output_ext)
output_count += 1
fig_title = 'Signal Decoded Using Real-Time ASDM Decoder'
print fig_title
decoder = rt.ASDMRealTimeDecoder(dt, bw, b, d, k, N, M, K)
noise_power = None
if noise_power == None:
fig_title = 'ASDM Input Signal with No Noise'
else:
fig_title = 'ASDM Input Signal with %d dB of Noise' % noise_power
print fig_title
u = func_timer(bl.gen_band_limited)(dur, dt, f, noise_power)
pl.plot_signal(t, u, fig_title, output_name + str(output_count) + output_ext)
b1 = 3.5 # bias
d1 = 0.7 # threshold
k1 = 0.01 # scaling factor
try:
asdm.asdm_recoverable(u, bw, b1, d1, k1)
except ValueError('reconstruction condition not satisfied'):
sys.exit()
b2 = 3.4 # bias
d2 = 0.8 # threshold
k2 = 0.01 # scaling factor
try:
asdm.asdm_recoverable(u, bw, b2, d2, k2)
except ValueError('reconstruction condition not satisfied'):
sys.exit()
output_count += 1
fig_title = 'Signal Encoded Using ASDM Encoder #1'
print fig_title
noise_power = None
if noise_power == None:
fig_title = 'ASDM Input Signal with No Noise'
else:
fig_title = 'ASDM Input Signal with %d dB of Noise' % noise_power
print fig_title
u = func_timer(bl.gen_band_limited)(dur, dt, f, noise_power)
pl.plot_signal(t, u, fig_title,
output_name + str(output_count) + output_ext)
b1 = 3.5 # bias
d1 = 0.7 # threshold
k1 = 0.01 # scaling factor
try:
asdm.asdm_recoverable(u, bw, b1, d1, k1)
except ValueError('reconstruction condition not satisfied'):
sys.exit()
b2 = 3.4 # bias
d2 = 0.8 # threshold
k2 = 0.01 # scaling factor
try:
asdm.asdm_recoverable(u, bw, b2, d2, k2)
except ValueError('reconstruction condition not satisfied'):
sys.exit()
output_count += 1
fig_title = 'Signal Encoded Using ASDM Encoder #1'
print fig_title
