#!/usr/bin/env python
import numpy as np
import util
delay = .005
Fs = 48000
reps = 100
tail_samples = int(Fs * 2.)
delay_samples = int(delay * Fs)
signal = np.tile(
np.r_[np.random.standard_normal(Fs * 2) * .1,
np.zeros(Fs * 2)], reps)
signal = np.vstack((np.r_[np.zeros(delay_samples),
signal], np.r_[signal,
np.zeros(delay_samples)])).T
signal = np.vstack((signal, np.zeros((tail_samples, 2))))
util.writewave('noise.wav', signal, Fs, 3)
if doDiagnostics:
decoderDiagnostics()
elif args[0] == '--tx':
startTransmitting()
elif args[0] == '--wav-in' and len(args) > 1:
input, Fs_file = util.readwave(args[1])
input = util.upsample(input, Fs / float(Fs_file))
input = audioLoopback.processInput(input, Fs, Fc, upsample_factor)
for payload,_,_,lsnr_estimate in wifi.decode(input)[0]:
print(repr(''.join(map(chr, payload))) + (' @ %.1f dB' % lsnr_estimate))
elif args[0] == '--wav-out' and len(args) > 1:
fn = args[1]
args = args[2:]
packets = 1
while len(args):
if args[0] == '--packets':
packets = int(args[1])
args = args[2:]
outputChunks = []
for i in xrange(packets):
input_octets = ord('A') + np.random.random_integers(0,25,length)
input_octets[:6] = map(ord, '%06d' % i)
output = audioLoopback.processOutput(wifi.encode(input_octets, rate), Fs, Fc, upsample_factor, mask_noise)
output *= 1 / np.abs(output).max()
outputChunks.append(output)
outputChunks.append(np.zeros((Fs/10, outputChunks[0].shape[1])))
outputChunks.append(np.zeros((Fs/2, outputChunks[0].shape[1])))
output = np.vstack(outputChunks)
bytesPerSample = 3
util.writewave(fn, output, Fs, bytesPerSample)
#!/usr/bin/env python
import numpy as np
import util
delay = .005
Fs = 48000
reps = 100
tail_samples = int(Fs*2.)
delay_samples = int(delay*Fs)
signal = np.tile(np.r_[np.random.standard_normal(Fs*2)*.1, np.zeros(Fs*2)], reps)
signal = np.vstack((np.r_[np.zeros(delay_samples), signal], np.r_[signal, np.zeros(delay_samples)])).T
signal = np.vstack((signal, np.zeros((tail_samples, 2))))
util.writewave('noise.wav', signal, Fs, 3)
input = util.upsample(input, Fs / float(Fs_file))
input = audioLoopback.processInput(input, Fs, Fc, upsample_factor)
for payload, _, _, lsnr_estimate in wifi.decode(input)[0]:
print(
repr(''.join(map(chr, payload))) +
(' @ %.1f dB' % lsnr_estimate))
elif args[0] == '--wav-out' and len(args) > 1:
fn = args[1]
args = args[2:]
packets = 1
while len(args):
if args[0] == '--packets':
packets = int(args[1])
args = args[2:]
outputChunks = []
for i in xrange(packets):
input_octets = ord('A') + np.random.random_integers(
0, 25, length)
input_octets[:6] = map(ord, '%06d' % i)
output = audioLoopback.processOutput(
wifi.encode(input_octets, rate), Fs, Fc, upsample_factor,
mask_noise)
output *= 1 / np.abs(output).max()
outputChunks.append(output)
outputChunks.append(
np.zeros((Fs / 10, outputChunks[0].shape[1])))
outputChunks.append(np.zeros((Fs / 2, outputChunks[0].shape[1])))
output = np.vstack(outputChunks)
bytesPerSample = 3
util.writewave(fn, output, Fs, bytesPerSample)