diff options
Diffstat (limited to 'lab-windows/dsss_experiments.ipynb')
| -rw-r--r-- | lab-windows/dsss_experiments.ipynb | 86 |
1 files changed, 51 insertions, 35 deletions
diff --git a/lab-windows/dsss_experiments.ipynb b/lab-windows/dsss_experiments.ipynb index be41b59..f2bbc0b 100644 --- a/lab-windows/dsss_experiments.ipynb +++ b/lab-windows/dsss_experiments.ipynb @@ -30,6 +30,15 @@ }, { "cell_type": "code", + "execution_count": 105, + "metadata": {}, + "outputs": [], + "source": [ + "sampling_rate = 10 # sp/s" + ] + }, + { + "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], @@ -410,29 +419,29 @@ }, { "cell_type": "code", - "execution_count": 96, + "execution_count": 145, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "(31,) (31,)\n", - "(31,) (31,)\n" + "(63,) (63,)\n", + "(63,) (63,)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "<ipython-input-96-b3aae757ccad>:33: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n", + "<ipython-input-145-babcf8a4e867>:33: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n", " fig, ((ax1, ax3), (ax2, ax4)) = plt.subplots(2, 2, figsize=(16, 9))\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "246c19a3c1424e7eb0b675ff060ea5b3", + "model_id": "10aa67d294304f2ba26c8e6d5555d5e6", "version_major": 2, "version_minor": 0 }, @@ -446,10 +455,10 @@ { "data": { "text/plain": [ - "(0.002, 0.013899708)" + "(0.002, 0.014074279)" ] }, - "execution_count": 96, + "execution_count": 145, "metadata": {}, "output_type": "execute_result" } @@ -457,15 +466,15 @@ "source": [ "decimation = 10\n", "signal_amplitude = 2.0e-3\n", - "nbits = 5\n", + "nbits = 6\n", "\n", "#test_data = np.random.randint(0, 2, 100)\n", "#test_data = np.array([0, 1, 0, 0, 1, 1, 1, 0])\n", - "#test_data = np.random.RandomState(seed=0).randint(0, 2 * (2**nbits), 64)\n", + "test_data = np.random.RandomState(seed=0).randint(0, 2 * (2**nbits), 64)\n", "#test_data = np.random.RandomState(seed=0).randint(0, 8, 64)\n", "#test_data = np.array(list(range(8)) * 8)\n", "#test_data = np.array([0, 1] * 32)\n", - "test_data = np.array(list(range(64)))\n", + "#test_data = np.array(list(range(64)))\n", "\n", "foo = np.repeat(modulate(test_data, nbits) * 2.0 - 1, decimation) * signal_amplitude\n", "noise = np.resize(mains_noise, len(foo))\n", @@ -493,12 +502,20 @@ "ax1.plot(foo + noise)\n", "ax1.plot(foo)\n", "ax1.set_title('raw')\n", + "ax1.grid(axis='y')\n", "\n", "ax2.plot(filtered)\n", "ax2.plot(foo)\n", "ax2.set_title('filtered')\n", + "ax2.grid(axis='y')\n", + "\n", + "for i in range(0, len(foo) + 1, decimation*(2**nbits - 1)):\n", + " ax1.axvline(i, color='gray', alpha=0.5, lw=1)\n", + " ax2.axvline(i, color='gray', alpha=0.5, lw=1)\n", "\n", - "ax3.plot(cor1.T)\n", + "for i, (color, trace) in enumerate(zip(plt.cm.winter(np.linspace(0, 1, cor1.shape[0])), cor1.T)):\n", + " if i%3 == 0:\n", + " ax3.plot(trace + 0.5 * i, alpha=1.0, color=color)\n", "ax3.set_title('corr raw')\n", "ax3.grid()\n", "\n", @@ -678,21 +695,21 @@ }, { "cell_type": "code", - "execution_count": 97, + "execution_count": 146, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "<ipython-input-97-2d2c2f814215>:11: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n", + "<ipython-input-146-badd40342f73>:11: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n", " fig, (ax1, ax3) = plt.subplots(2, figsize=(12, 5))\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b083c661b5b441d6b7fc45201faa0576", + "model_id": "509bf67d93b74741b48bca58529c4b9d", "version_major": 2, "version_minor": 0 }, @@ -707,26 +724,24 @@ "name": "stdout", "output_type": "stream", "text": [ - "cor_an (33, 20149)\n", - "cwt_res (33, 20149)\n", - "th (33, 20149)\n", - "[((33,), (33,)), ((33,), (33,)), ((33,), (33,)), ((33,), (33,)), ((33,), (33,))]\n", - "peaks: 180\n", - "avg_peak 1.058897833824206\n", - "skipped 3 symbols at 5889.0\n", - "skipped 2 symbols at 8369.0\n", - "skipped 2 symbols at 14568.5\n", - "skipped 2 symbols at 16739.0\n", + "cor_an (65, 40949)\n", + "cwt_res (65, 40949)\n", + "th (65, 40949)\n", + "[((65,), (65,)), ((65,), (65,)), ((65,), (65,)), ((65,), (65,)), ((65,), (65,))]\n", + "peaks: 982\n", + "avg_peak 1.6673786030736735\n", + "skipped 2 symbols at 30238.5\n", "decoding [ref|dec]:\n", - " -1| -1 ✔ 1| 1 ✔ 2| 2 ✔ 3| 3 ✔ 4| 4 ✔ 5| 5 ✔ 6| 6 ✔ 7| 7 ✔ \n", - " 8| 8 ✔ 9| 9 ✔ 10| 10 ✔ 11| 11 ✔ 12| 12 ✔ 13| 13 ✔ 14| 14 ✔ 15| 15 ✔ \n", - " 16| -1 ✘ 17| -1 ✘ 18| 18 ✔ 19| 19 ✔ 20| 20 ✔ 21| 21 ✔ 22| 22 ✔ 23| 23 ✔ \n", - " 24| 24 ✔ 25| -1 ✘ 26| 26 ✔ 27| 27 ✔ 28| 28 ✔ 29| 29 ✔ 30| 30 ✔ 31| 31 ✔ \n", - " 32| 32 ✔ 33| 33 ✔ 34| 34 ✔ 35| 35 ✔ 36| 36 ✔ 37| 37 ✔ 38| 38 ✔ 39| 39 ✔ \n", - " 40| 40 ✔ 41| 41 ✔ 42| 42 ✔ 43| 43 ✔ 44| 44 ✔ 45| -1 ✘ 46| 46 ✔ 47| 47 ✔ \n", - " 48| 48 ✔ 49| 49 ✔ 50| 50 ✔ 51| 51 ✔ 52| -1 ✘ 53| 53 ✔ 54| 54 ✔ 55| 55 ✔ \n", - " 56| 56 ✔ 57| 57 ✔ 58| 58 ✔ 59| 59 ✔ 60| 60 ✔ 61| 61 ✔ 62| 62 ✔ 63| 56 ✘ \n", - "Symbol error rate r=0.09375\n" + " 44| 44 ✔ 47| 47 ✔ 117|117 ✔ 64| 64 ✔ 67| 67 ✔ 123|123 ✔ 67| 67 ✔ 103|103 ✔ \n", + " 9| 9 ✔ 83| 83 ✔ 21| 21 ✔ 114|114 ✔ 36| 36 ✔ 87| 87 ✔ 70| 70 ✔ 88| 88 ✔ \n", + " 88| 88 ✔ 12| 12 ✔ 58| 58 ✔ 65| 65 ✔ 102|102 ✔ 39| 39 ✔ 87| 87 ✔ 46| 46 ✔ \n", + " 88| 88 ✔ 81| 81 ✔ 37| 37 ✔ 25| 25 ✔ 77| 77 ✔ 72| 72 ✔ 9| 9 ✔ 20| 20 ✔ \n", + "115|115 ✔ 80| 80 ✔ 115|115 ✔ 69| 69 ✔ 126|126 ✔ 79| 79 ✔ 47| 47 ✔ 64| 64 ✔ \n", + " 82| 82 ✔ 99| 99 ✔ 88| 88 ✔ 49| 49 ✔ 115|115 ✔ 29| 29 ✔ 19| -1 19| 19 ✔ \n", + " 14| 14 ✔ 39| 39 ✔ 32| 32 ✔ 65| 64 ✘ 9| 9 ✔ 57| 57 ✔ 127|127 ✔ 32| 32 ✔ \n", + " 31| 31 ✔ 74| 74 ✔ 116|116 ✔ 23| 23 ✔ 35| 35 ✔ 126|126 ✔ 75| 75 ✔ 114| 26 ✘ \n", + "Symbol error rate e=0.046875\n", + "maximum bitrate r=321.6796875 b/h\n" ] } ], @@ -869,12 +884,13 @@ "print('decoding [ref|dec]:')\n", "failures = 0\n", "for i, (ref, found) in enumerate(itertools.zip_longest(test_data, decoded)):\n", - " print(f'{ref or -1:>3d}|{found or -1:>3d} {\"✔\" if ref==found else \"✘\"}', end=' ')\n", + " print(f'{ref or -1:>3d}|{found or -1:>3d} {\"✔\" if ref==found else \"✘\" if found else \" \"}', end=' ')\n", " if ref != found:\n", " failures += 1\n", " if i%8 == 7:\n", " print()\n", - "print(f'Symbol error rate r={failures/len(test_data)}')\n", + "print(f'Symbol error rate e={failures/len(test_data)}')\n", + "print(f'maximum bitrate r={sampling_rate / decimation / (2**nbits) * nbits * (1 - failures/len(test_data)) * 3600} b/h')\n", "#ax3.plot(th)" ] }, |