def cpuTrial():
mark1 = intelpowergadget.mark()
packets = 100
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)
mark2 = intelpowergadget.mark()
cycles_elapsed = intelpowergadget.count(mark1, mark2)
samples_produced = output.shape[0]
encoder_min_cpu_freq = cycles_elapsed * Fs / float(samples_produced)
mark1 = intelpowergadget.mark()
input = audioLoopback.processInput(output.mean(1), Fs, Fc, upsample_factor)
count = len(wifi.decode(input)[0])
mark2 = intelpowergadget.mark()
print count
cycles_elapsed = intelpowergadget.count(mark1, mark2)
decoder_min_cpu_freq = cycles_elapsed * Fs / float(samples_produced)
return encoder_min_cpu_freq, decoder_min_cpu_freq
def cpuTrial():
mark1 = intelpowergadget.mark()
packets = 100
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)
mark2 = intelpowergadget.mark()
cycles_elapsed = intelpowergadget.count(mark1, mark2)
samples_produced = output.shape[0]
encoder_min_cpu_freq = cycles_elapsed * Fs / float(samples_produced)
mark1 = intelpowergadget.mark()
input = audioLoopback.processInput(output.mean(1), Fs, Fc, upsample_factor)
count = len(wifi.decode(input)[0])
mark2 = intelpowergadget.mark()
print count
cycles_elapsed = intelpowergadget.count(mark1, mark2)
decoder_min_cpu_freq = cycles_elapsed * Fs / float(samples_produced)
return encoder_min_cpu_freq, decoder_min_cpu_freq
def thread_produce(self):
packet = self.packetSource()
if packet is not None:
buf, rate = packet
output = wifi.encode(np.fromstring(buf, dtype=np.uint8), rate)
output = audioLoopback.processOutput(output, self.channel.Fs, self.channel.Fc, self.channel.upsample_factor, None)
else:
output = np.zeros((self.channel.Fs * .001,2))
return np.hstack((self.hp[0](output[:,0])[:,np.newaxis],
self.hp[1](output[:,1])[:,np.newaxis]))
def thread_produce(self):
input_octets = ord("A") + np.random.random_integers(0, 25, length)
input_octets[:6] = map(ord, "%06d" % self.i)
self.i += 1
output = wifi.encode(input_octets, rate)
output = audioLoopback.processOutput(output, Fs, Fc, upsample_factor, None)
if False:
return output
else:
return np.hstack((self.hp[0](output[:, 0])[:, np.newaxis], self.hp[1](output[:, 1])[:, np.newaxis]))
def thread_produce(self):
input_octets = ord('A') + np.random.random_integers(0, 25, length)
input_octets[:6] = map(ord, '%06d' % self.i)
self.i += 1
output = wifi.encode(input_octets, rate)
output = audioLoopback.processOutput(output, Fs, Fc, upsample_factor,
None, 100)
if False:
return output
else:
return np.hstack((self.hp[0](output[:, 0])[:, np.newaxis],
self.hp[1](output[:, 1])[:, np.newaxis]))
def thread_produce(self):
packet = self.packetSource()
if packet is not None:
buf, rate = packet
output = wifi.encode(np.fromstring(buf, dtype=np.uint8), rate)
output = audioLoopback.processOutput(output, self.channel.Fs,
self.channel.Fc,
self.channel.upsample_factor,
None)
else:
output = np.zeros((self.channel.Fs * .001, 2))
return np.hstack((self.hp[0](output[:, 0])[:, np.newaxis],
self.hp[1](output[:, 1])[:, np.newaxis]))
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)
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)
