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artiq/artiq/wavesynth/compute_samples.py
Robert Jordens 60baed68b4 wavesynth: get coefficients.py into useable state
SplineSource() supports spline interpolating multi-channel tabular data,
cropping it and generating wavesynth compatible segment data from it.

ComposingSplineSource() needs some verification still.
2015-04-18 01:23:15 -06:00

127 lines
3.5 KiB
Python

from copy import copy
from math import cos, pi
from artiq.wavesynth.coefficients import discrete_compensate
class Spline:
def __init__(self):
self.c = [0.0]
def set_coefficients(self, c):
self.c = copy(c)
discrete_compensate(self.c)
def next(self):
r = self.c[0]
for i in range(len(self.c) - 1):
self.c[i] += self.c[i + 1]
return r
class SplinePhase:
def __init__(self):
self.c = [0.0]
self.c0 = 0.0
def set_coefficients(self, c):
self.c0 = c[0]
c1p = c[1:]
discrete_compensate(c1p)
self.c[1:] = c1p
def clear(self):
self.c[0] = 0.0
def next(self):
r = self.c[0]
for i in range(len(self.c) - 1):
self.c[i] += self.c[i + 1]
self.c[i] %= 1.0
return r + self.c0
class DDS:
def __init__(self):
self.amplitude = Spline()
self.phase = SplinePhase()
def next(self):
return self.amplitude.next()*cos(2*pi*self.phase.next())
class Wave:
def __init__(self):
self.bias = Spline()
self.dds = DDS()
self.v = 0.
self.silence = False
def next(self):
v = self.bias.next() + self.dds.next()
if not self.silence:
self.v = v
return self.v
def set_silence(self, s):
self.silence = s
class TriggerError(Exception):
pass
class Synthesizer:
def __init__(self, nchannels, program):
self.channels = [Wave() for _ in range(nchannels)]
self.program = program
# line_iter is None: "wait for segment selection" state
# otherwise: iterator on the current position in the frame
self.line_iter = None
def select(self, selection):
if self.line_iter is not None:
raise TriggerError("a frame is already selected")
self.line_iter = iter(self.program[selection])
self.line = next(self.line_iter)
def trigger(self):
if self.line_iter is None:
raise TriggerError("no frame selected")
line = self.line
if not line.get("trigger", False):
raise TriggerError("segment is not triggered")
r = [[] for _ in self.channels]
while True:
for channel, channel_data in zip(self.channels,
line["channel_data"]):
if "bias" in channel_data:
channel.bias.set_coefficients(
channel_data["bias"]["amplitude"])
if "dds" in channel_data:
channel.dds.amplitude.set_coefficients(
channel_data["dds"]["amplitude"])
if "phase" in channel_data["dds"]:
channel.dds.phase.set_coefficients(
channel_data["dds"]["phase"])
if channel_data["dds"].get("clear", False):
channel.dds.phase.clear()
channel.set_silence(channel_data.get("silence", False))
if line.get("dac_divider", 1) != 1:
raise NotImplementedError
for channel, rc in zip(self.channels, r):
for i in range(line["duration"]):
rc.append(channel.next())
try:
self.line = line = next(self.line_iter)
if line.get("trigger", False):
return r
except StopIteration:
self.line_iter = None
return r