def test_cic_interpolate_20(self):
cic_delay = 1
cic_order = 4
in_sign = Signature("in", True, bits=16)
out_sign = Signature("out", True, bits=16)
interp_val = 20
interp = Signal(intbv(interp_val, min=0, max=2**10))
decim = Signal(intbv(1, min=0, max=2**10))
shift_val = cic_shift(len(in_sign.i), len(out_sign.i), interp_val,
cic_order, cic_delay)
shift = Signal(intbv(shift_val, min=0, max=21))
s = DSPSim(
in_sign=in_sign,
out_sign=out_sign,
)
def test_cic_interpolate_20():
truncated = Signature("truncated", True, bits=8)
truncator_0 = truncator(s.clearn, s.clock, s.input, truncated)
cic_0 = cic(s.clearn, s.clock, truncated, s.output, #cic_0_out,
interp, shift,
cic_order=cic_order, cic_delay=cic_delay,
sim=None)
return cic_0, truncator_0
numsamples = 32
fname = '/home/testa/whitebox/hdl/sin.samples'
in_i, in_q = load_quadrature_short_samples(fname, offset=65012, numsamples=numsamples)
in_t = np.arange(0, in_i.shape[0])
try:
out_i, out_q = s.simulate_quadrature(in_i, in_q, test_cic_interpolate_20, interp=interp)
except:
#s.plot_chain("cic_interpolate_20_error")
#plt.show()
raise
out_t = np.arange(0, out_i.shape[0])
new_shape = tuple([in_t.shape[i] * interp for i in range(len(in_t.shape))])
assert out_t.shape == new_shape
f_cic_interpolate_20 = plt.figure("cic_interpolate_20")
f_in = figure_discrete_quadrature("in", (2, 1, 1), f_cic_interpolate_20, in_sign, in_t, in_i, in_q)
f_out = figure_discrete_quadrature("out", (2, 1, 2), f_cic_interpolate_20, out_sign, out_t, out_i, out_q)
plt.savefig("cic_interp_20.png")
def test_fir_design(self):
in_sign = Signature("in", True, bits=9)
out_sign = Signature("out", True, bits=9)
s = FirSim(in_sign=in_sign, out_sign=out_sign)
taps = [int(t) for t in s.design(48e3, 12e3, 1e3, 40.0)]
in_c = s.input_signal()
in_t = arange(len(in_c))
in_i = [int(i.real * (2**8-1)) for i in in_c]
in_q = [int(i.imag * (2**8-1)) for i in in_c]
s.verify_design()
coeff_ram = Ram2(s.clearn, s.clock, s.clock, data=taps)
delay_line_i_ram = Ram(s.clearn, s.clock, s.clock)
delay_line_q_ram = Ram(s.clearn, s.clock, s.clock)
bypass = Signal(bool(0))
bank1 = Signal(bool(0))
bank0 = Signal(bool(0))
N = Signal(intbv(len(taps), min=0, max=2**7-1))
def test_fir_design():
load_coeff_ram_addr = coeff_ram.port['b'].addr
load_coeff_ram_blk = coeff_ram.port['b'].blk
load_coeff_ram_wen = coeff_ram.port['b'].wen
fir_0 = fir(s.clearn, s.clock, s.input, s.output,
coeff_ram.port['a'].addr,
coeff_ram.port['a'].din[0],
coeff_ram.port['a'].din[1],
coeff_ram.port['a'].blk,
coeff_ram.port['a'].wen,
coeff_ram.port['a'].dout[0],
coeff_ram.port['a'].dout[1],
delay_line_i_ram.port['a'].addr,
delay_line_i_ram.port['a'].din,
delay_line_i_ram.port['a'].blk,
delay_line_i_ram.port['a'].wen,
delay_line_i_ram.port['a'].dout,
delay_line_q_ram.port['a'].addr,
delay_line_q_ram.port['a'].din,
delay_line_q_ram.port['a'].blk,
delay_line_q_ram.port['a'].wen,
delay_line_q_ram.port['a'].dout,
bypass, bank1, bank0, N,
sim=s)
return fir_0, coeff_ram.rama, coeff_ram.ramb, delay_line_i_ram.ram, delay_line_q_ram.ram
out_i, out_q = s.simulate_quadrature(in_i, in_q, test_fir_design, interp=128)
out_t = arange(0, out_i.shape[0])
new_shape = tuple([in_t.shape[i] for i in range(len(in_t.shape))])
assert out_t.shape == new_shape
f = figure("fir_output")
title("fir filter output")
f_out = figure_discrete_quadrature('FIR Filter Output', (1, 1, 1), f, s.input, out_t, out_i / (2.**8-1), out_q / (2.**8-1))
savefig('output.png')
def plot_tx(self, name, decim=1):
"""Plot the transmitter's output."""
f_parent = plt.figure(name + "_tx")
f_parent.subplots_adjust(hspace=.5)
#plt.title(name + "_tx")
y = self.tx(decim=decim)
n = len(y)
k = np.arange(n)
f1 = figure_discrete_quadrature("Signal", (3, 1, 1), f_parent,
self.dac_data, k, [i.real for i in y],
[i.imag for i in y])
#frq = np.fft.fftfreq(n, 1/sample_rate)
#y = [i + 1j * q for i, q in zip (self.tx_i, self.tx_q)]
#Y = np.fft.fft(y)/n
frq, Y = self.fft_tx()
f2 = figure_fft_power("Power", (3, 1, 2), f_parent, frq, Y)
f3 = figure_fft_phase("Phase", (3, 1, 3), f_parent, frq, Y)
def plot_tx(self, name, decim=1):
"""Plot the transmitter's output."""
f_parent = plt.figure(name + "_tx")
f_parent.subplots_adjust(hspace=.5)
#plt.title(name + "_tx")
y = self.tx(decim=decim)
n = len(y)
k = np.arange(n)
f1 = figure_discrete_quadrature("Signal", (3, 1, 1), f_parent,
self.dac_data, k, [i.real for i in y], [i.imag for i in y])
#frq = np.fft.fftfreq(n, 1/sample_rate)
#y = [i + 1j * q for i, q in zip (self.tx_i, self.tx_q)]
#Y = np.fft.fft(y)/n
frq, Y = self.fft_tx()
f2 = figure_fft_power("Power", (3, 1, 2), f_parent,
frq, Y)
f3 = figure_fft_phase("Phase", (3, 1, 3), f_parent,
frq, Y)
