Python asdm_recoverable示例

示例#1

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,

示例#2

文件： asdm_rt_demo.py 项目： bionet/ted.python

# 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)

示例#3

文件： asdm_pop_demo.py 项目： era1erushe/ted.python

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

示例#4

文件： asdm_pop_demo.py 项目： bionet/ted.python

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