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authorMatthias P. Braendli <matthias.braendli@mpb.li>2018-11-28 15:44:11 +0100
committerMatthias P. Braendli <matthias.braendli@mpb.li>2018-11-28 15:44:11 +0100
commit90255c8d0d69f2843c72c41faab57c3905fbf906 (patch)
treee250242ff720448ba39e6afc8f8a9e6461adcd13 /gui/dpd
parentd952405886dab44f12c1de53b57912b34320c7c8 (diff)
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Add plots to predistortion page
Diffstat (limited to 'gui/dpd')
-rw-r--r--gui/dpd/Capture.py26
-rw-r--r--gui/dpd/__init__.py4
2 files changed, 22 insertions, 8 deletions
diff --git a/gui/dpd/Capture.py b/gui/dpd/Capture.py
index 3b2988b..7d95f90 100644
--- a/gui/dpd/Capture.py
+++ b/gui/dpd/Capture.py
@@ -25,7 +25,7 @@
import socket
import struct
-import os
+import os.path
import logging
import numpy as np
from scipy import signal
@@ -68,11 +68,12 @@ def align_samples(sig_tx, sig_rx):
class Capture:
"""Capture samples from ODR-DabMod"""
- def __init__(self, samplerate, port, num_samples_to_request):
+ def __init__(self, samplerate, port, num_samples_to_request, plot_dir):
self.samplerate = samplerate
self.sizeof_sample = 8 # complex floats
self.port = port
self.num_samples_to_request = num_samples_to_request
+ self.plot_dir = plot_dir
# Before we run the samples through the model, we want to accumulate
# them into bins depending on their amplitude, and keep only n_per_bin
@@ -161,6 +162,19 @@ class Capture:
return txframe, tx_ts, rxframe, rx_ts
+ def _plot_spectrum(self, signal, filename, title):
+ fig = plt.figure()
+ ax = plt.subplot(1, 1, 1)
+
+ fft = np.fft.fftshift(np.fft.fft(signal))
+ fft_db = 20 * np.log10(np.abs(fft))
+
+ ax.plot(fft_db)
+ ax.set_title(title)
+ fig.tight_layout()
+ fig.savefig(os.path.join(self.plot_dir, filename))
+ plt.close(fig)
+
def calibrate(self):
txframe, tx_ts, rxframe, rx_ts = self.receive_tcp()
@@ -172,6 +186,9 @@ class Capture:
rxframe = rxframe * self.rx_normalisation
txframe_aligned, rxframe_aligned, coarse_offset = align_samples(txframe, rxframe)
+ self._plot_spectrum(rxframe[:8192], "rxframe.png", "RX Frame")
+ self._plot_spectrum(txframe[:8192], "txframe.png", "RX Frame")
+
return tx_ts, tx_median, rx_ts, rx_median, np.abs(coarse_offset), correlation_coefficient(txframe_aligned, rxframe_aligned)
def get_samples(self):
@@ -208,12 +225,9 @@ class Capture:
ax.set_xlim(0, 1.1)
ax.legend(loc=4)
fig.tight_layout()
- buf = io.BytesIO()
- fig.savefig(buf)
+ fig.savefig(os.path.join(self.plot_dir, "pointcloud.png"))
plt.close(fig)
- return buf.getvalue()
-
def _bin_and_accumulate(self, txframe, rxframe):
"""Bin the samples and extend the accumulated samples"""
diff --git a/gui/dpd/__init__.py b/gui/dpd/__init__.py
index 2c7649b..9009436 100644
--- a/gui/dpd/__init__.py
+++ b/gui/dpd/__init__.py
@@ -26,7 +26,7 @@ from . import Capture
import numpy as np
class DPD:
- def __init__(self, samplerate=8192000):
+ def __init__(self, plot_dir, samplerate=8192000):
self.samplerate = samplerate
oversample = int(self.samplerate / 2048000)
@@ -40,7 +40,7 @@ class DPD:
port = 50055
samples_to_capture = 81920
- self.capture = Capture.Capture(self.samplerate, port, samples_to_capture)
+ self.capture = Capture.Capture(self.samplerate, port, samples_to_capture, plot_dir)
def status(self):
r = {}