From 6ab3ac3dff6a7b9405184b4b45334bbc7f0dbee1 Mon Sep 17 00:00:00 2001
From: jaseg <git-bigdata-wsl-arch@jaseg.de>
Date: Wed, 1 Apr 2020 18:27:14 +0200
Subject: Update thesis

---
 lab-windows/Phase Measurement Prototype.ipynb      |    52 +-
 .../mains_voltage_spectrum-eps-converted-to.pdf    |   Bin 0 -> 61621 bytes
 lab-windows/fig_out/mains_voltage_spectrum.eps     | 10404 +++++++++++++++++++
 .../ocxo_freq_stability-eps-converted-to.pdf       |   Bin 0 -> 18823 bytes
 lab-windows/fig_out/ocxo_freq_stability.eps        |  1822 ++++
 lab-windows/grid_scope.ipynb                       |   236 +-
 .../rocof_test_amplitude_and_phase_steps_1kHz.bin  |   Bin 240000 -> 240000 bytes
 .../rocof_test_amplitude_steps_1kHz.bin            |   Bin 240000 -> 240000 bytes
 .../rocof_test_data/rocof_test_noise_1kHz.bin      |   Bin 240000 -> 240000 bytes
 .../rocof_test_data/rocof_test_noise_loud_1kHz.bin |   Bin 240000 -> 240000 bytes
 .../rocof_test_phase_steps_1kHz.bin                |   Bin 240000 -> 240000 bytes
 .../rocof_test_sweep_phase_steps_1kHz.bin          |   Bin 240000 -> 240000 bytes
 12 files changed, 12371 insertions(+), 143 deletions(-)
 create mode 100644 lab-windows/fig_out/mains_voltage_spectrum-eps-converted-to.pdf
 create mode 100644 lab-windows/fig_out/mains_voltage_spectrum.eps
 create mode 100644 lab-windows/fig_out/ocxo_freq_stability-eps-converted-to.pdf
 create mode 100644 lab-windows/fig_out/ocxo_freq_stability.eps

(limited to 'lab-windows')

diff --git a/lab-windows/Phase Measurement Prototype.ipynb b/lab-windows/Phase Measurement Prototype.ipynb
index 11f6226..b462829 100644
--- a/lab-windows/Phase Measurement Prototype.ipynb	
+++ b/lab-windows/Phase Measurement Prototype.ipynb	
@@ -76,7 +76,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -99,7 +99,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -108,7 +108,7 @@
        "(129, 470)"
       ]
      },
-     "execution_count": 57,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -119,7 +119,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -128,7 +128,7 @@
        "3.90625"
       ]
      },
-     "execution_count": 58,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -139,21 +139,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "<ipython-input-61-530955947ba4>:1: 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, ax = plt.subplots(len(test_data), figsize=(8, 20), sharex=True)\n"
-     ]
-    },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "30b7e529e3f94c1b8241c6b6760b7e69",
+       "model_id": "c7a38939cb3a42cfbfe99fe7d603e11a",
        "version_major": 2,
        "version_minor": 0
       },
@@ -182,21 +174,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "<ipython-input-76-31c82486a777>:1: 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, ax = plt.subplots(len(test_data), figsize=(8, 20), sharex=True)\n"
-     ]
-    },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "9e0976ade81c4990a10fd1182f0f20d5",
+       "model_id": "e6b769f15870407ba59cff627632d447",
        "version_major": 2,
        "version_minor": 0
       },
@@ -225,7 +209,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -255,7 +239,7 @@
        "       492.1875 , 496.09375, 500.     ])"
       ]
      },
-     "execution_count": 62,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -266,21 +250,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "<ipython-input-63-888d30b0f7d6>:1: 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, axs = plt.subplots(len(test_data), figsize=(8, 20), sharex=True)\n"
-     ]
-    },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "cef58f5753084c54a648418e134775d8",
+       "model_id": "db4021b95410428cb07f76edd932907c",
        "version_major": 2,
        "version_minor": 0
       },
@@ -388,7 +364,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.1"
+   "version": "3.8.2"
   }
  },
  "nbformat": 4,
diff --git a/lab-windows/fig_out/mains_voltage_spectrum-eps-converted-to.pdf b/lab-windows/fig_out/mains_voltage_spectrum-eps-converted-to.pdf
new file mode 100644
index 0000000..e23f1ab
Binary files /dev/null and b/lab-windows/fig_out/mains_voltage_spectrum-eps-converted-to.pdf differ
diff --git a/lab-windows/fig_out/mains_voltage_spectrum.eps b/lab-windows/fig_out/mains_voltage_spectrum.eps
new file mode 100644
index 0000000..4a06478
--- /dev/null
+++ b/lab-windows/fig_out/mains_voltage_spectrum.eps
@@ -0,0 +1,10404 @@
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diff --git a/lab-windows/fig_out/ocxo_freq_stability-eps-converted-to.pdf b/lab-windows/fig_out/ocxo_freq_stability-eps-converted-to.pdf
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diff --git a/lab-windows/grid_scope.ipynb b/lab-windows/grid_scope.ipynb
index f3e9176..1ddde37 100644
--- a/lab-windows/grid_scope.ipynb
+++ b/lab-windows/grid_scope.ipynb
@@ -36,7 +36,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "db = sqlite3.connect('data/waveform-raspi.sqlite3')"
+    "db = sqlite3.connect('data/waveform-raspi-2-2.sqlite3')"
    ]
   },
   {
@@ -48,7 +48,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Run 000: 2020-01-31 19:05:24 - 2020-02-01 01:13:45 (  6:08:21.589,  22126080sp)\n"
+      "Run 000: 2020-03-25 16:07:36 - 2020-03-26 00:15:13 (  8:07:37.266,  29261120sp)\n"
      ]
     }
    ],
@@ -100,12 +100,12 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "0b088957d9a24a74ab1b81d68099aa99",
+       "model_id": "582c4360e293466e9baed5bc66a47883",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "HBox(children=(FloatProgress(value=0.0, max=691440.0), HTML(value='')))"
+       "HBox(children=(FloatProgress(value=0.0, max=914410.0), HTML(value='')))"
       ]
      },
      "metadata": {},
@@ -133,7 +133,7 @@
     "        'SELECT seq, data FROM measurements WHERE run_id = ? ORDER BY rx_ts LIMIT ? OFFSET ?',\n",
     "        (last_run, limit, n_records-limit))), total=n_records):\n",
     "    \n",
-    "    if last_seq is None or seq == (last_seq + 1)%0xffff:\n",
+    "    if last_seq is None or seq == (last_seq + 1)%0x10000:\n",
     "        last_seq = seq\n",
     "        idx = write_index if skip_dropped_sections else i\n",
     "        data[idx*record_size:(idx+1)*record_size] = np.frombuffer(chunk, dtype='<H')\n",
@@ -156,7 +156,7 @@
     {
      "data": {
       "text/plain": [
-       "227.68691180713367"
+       "227.0922848236977"
       ]
      },
      "execution_count": 7,
@@ -177,7 +177,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "8a6f7e9ac8f04d1b84035c29623cfa99",
+       "model_id": "ecf3e3e261c54d87b169c1eb391a67f9",
        "version_major": 2,
        "version_minor": 0
       },
@@ -266,7 +266,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "a3824e732a0647d4a12e8c5a567f5dc0",
+       "model_id": "cc101709475d440ea77e68bcb56ce3b7",
        "version_major": 2,
        "version_minor": 0
       },
@@ -299,12 +299,12 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "342f89b5d55f435ab132deb5d051c926",
+       "model_id": "b0202d59643548cf83b6fa6fd7580d2d",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "HBox(children=(FloatProgress(value=0.0, max=221260.0), HTML(value='')))"
+       "HBox(children=(FloatProgress(value=0.0, max=292611.0), HTML(value='')))"
       ]
      },
      "metadata": {},
@@ -364,7 +364,7 @@
     "        #print(coeff)\n",
     "        A, mu, sigma, *_ = coeff\n",
     "        f_mean[le_t] = mu\n",
-    "    except Exception:\n",
+    "    except Exception as e:\n",
     "        f_mean[le_t] = np.nan"
    ]
   },
@@ -376,7 +376,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "33431729d479469cb89bcf86e22508ad",
+       "model_id": "59d50a2876634433bdfb751a7a66d9ca",
        "version_major": 2,
        "version_minor": 0
       },
@@ -420,6 +420,8 @@
     "for i in np.where(np.isnan(f_mean))[0]:\n",
     "    ax.axvspan(f_t[i], f_t[i+1], color='lightblue')\n",
     "\n",
+    "formatter = matplotlib.ticker.FuncFormatter(lambda s, x: str(datetime.timedelta(seconds=s)))\n",
+    "ax.xaxis.set_major_formatter(formatter)\n",
     "ax.set_xlabel('recording time t [s]')\n",
     "None"
    ]
@@ -432,7 +434,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "e8a4ecab028f4fcf8d9821dd66a42027",
+       "model_id": "95cfea97c3b946ed9cdf351b16c2c45e",
        "version_major": 2,
        "version_minor": 0
       },
@@ -529,13 +531,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 53,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "<ipython-input-53-c54c3e4ac2be>:20: 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, ax = plt.subplots(figsize=(5, 2))\n"
+     ]
+    },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "bcf4b384d95949c38a4754cdb47ae512",
+       "model_id": "ad5454f664734681adb8640f480ce69a",
        "version_major": 2,
        "version_minor": 0
       },
@@ -546,64 +556,55 @@
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/user/safety-reset/lab-windows/env/lib/python3.8/site-packages/numpy/core/_asarray.py:85: ComplexWarning: Casting complex values to real discards the imaginary part\n",
-      "  return array(a, dtype, copy=False, order=order)\n"
-     ]
-    },
     {
      "data": {
       "text/plain": [
-       "5.0"
+       "Text(20, 1, '50 Hz')"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 53,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "data = f_copy\n",
-    "ys = scipy.fftpack.fft(data)\n",
-    "ys = scipy.fftpack.fftshift(ys)\n",
-    "#ys = 2.0/len(data) * np.abs(ys[:len(data)//2])\n",
-    "#s = 3\n",
-    "\n",
-    "#ys = np.convolve(ys, np.ones((s,))/s, mode='valid')\n",
-    "\n",
-    "#xs = np.linspace(0, 5, len(data)//2)\n",
-    "xs = np.linspace(-5, 5, len(data))\n",
+    "# Number of samplepoints\n",
+    "N = len(data)\n",
+    "# sample spacing\n",
+    "T = 1.0 / sampling_rate\n",
+    "x = np.linspace(0.0, N*T, N)\n",
+    "yf = scipy.fftpack.fft(data * sig.blackman(N))\n",
+    "xf = np.linspace(0.0, 1.0/(2.0*T), N//2)\n",
     "\n",
-    "#ys *= 2*np.pi*xs[s//2:-s//2+1]\n",
-    "#ys *= xs\n",
+    "yf = 2.0/N * np.abs(yf[:N//2])\n",
     "\n",
-    "#xs = np.linspace(len(data)/2, 1, len(data)/2)\n",
+    "average_from = lambda val, start, average_width: np.hstack([val[:start], [ np.mean(val[i:i+average_width]) for i in range(start, len(val), average_width) ]])\n",
     "\n",
-    "fig, ax = plt.subplots(figsize=(9,5))\n",
-    "#ax.loglog(xs[s//2:-s//2+1], ys)\n",
-    "#ax.loglog(xs[s//2:-s//2+1], ys)\n",
-    "#ax.loglog(xs, ys)\n",
-    "#ys[len(xs)//2] = 0\n",
-    "#ax.set_yscale('log')\n",
-    "ax.plot(xs, ys)\n",
-    "#ax.xaxis.set_major_formatter(plt.FuncFormatter(lambda x, _pos: f'{1/x:.1f}'))\n",
-    "ax.grid()\n",
-    "#plt.show()\n",
-    "xs[-1]"
+    "average_width = 6\n",
+    "average_start = 20\n",
+    "yf = average_from(yf, average_start, average_width)\n",
+    "xf = average_from(xf, average_start, average_width)\n",
+    "yf = average_from(yf, 200, average_width)\n",
+    "xf = average_from(xf, 200, average_width)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 68,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "<ipython-input-68-21b49a5af249>:1: 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, ax = plt.subplots(figsize=(6, 3))\n"
+     ]
+    },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "cbc03380a4234b4d8160d25e867ff5a9",
+       "model_id": "4a3edb0925fe47eb8751150aa7da8c22",
        "version_major": 2,
        "version_minor": 0
       },
@@ -615,54 +616,51 @@
      "output_type": "display_data"
     },
     {
-     "data": {
-      "text/plain": [
-       "(1.6666666666666667e-05, 0.5)"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n"
+     ]
     }
    ],
    "source": [
-    "# Number of samplepoints\n",
-    "N = len(data)\n",
-    "# sample spacing\n",
-    "T = 1.0 / 10.0\n",
-    "x = np.linspace(0.0, N*T, N)\n",
-    "yf = scipy.fftpack.fft(data)\n",
-    "xf = np.linspace(0.0, 1.0/(2.0*T), N//2)\n",
-    "\n",
-    "yf = 2.0/N * np.abs(yf[:N//2])\n",
-    "\n",
-    "average_from = lambda val, start, average_width: np.hstack([val[:start], [ np.mean(val[i:i+average_width]) for i in range(start, len(val), average_width) ]])\n",
-    "\n",
-    "average_width = 6\n",
-    "average_start = 20\n",
-    "yf = average_from(yf, average_start, average_width)\n",
-    "xf = average_from(xf, average_start, average_width)\n",
-    "yf = average_from(yf, 200, average_width)\n",
-    "xf = average_from(xf, 200, average_width)\n",
-    "\n",
-    "fig, ax = plt.subplots()\n",
+    "fig, ax = plt.subplots(figsize=(6, 3))\n",
+    "fig.tight_layout()\n",
     "ax.loglog(xf, yf)\n",
-    "ax.xaxis.set_major_formatter(plt.FuncFormatter(lambda x, _pos: f'{1/x:.1f}'))\n",
-    "ax.set_xlabel('T in s')\n",
-    "ax.set_ylabel('Amplitude Δf')\n",
+    "#ax.xaxis.set_major_formatter(plt.FuncFormatter(lambda x, _pos: f'{1/x:.1f}'))\n",
+    "ax.set_xlabel('f [Hz]')\n",
+    "ax.set_ylabel('Amplitude V [V]')\n",
     "ax.grid()\n",
-    "ax.set_xlim([1/60000, 0.5])"
+    "ax.set_xlim([0.1, 500])\n",
+    "fig.subplots_adjust(bottom=0.2)\n",
+    "\n",
+    "for le_f in (50, 150, 250, 350, 450):\n",
+    "    ax.axvline(le_f, color=(1, 0.5, 0.5), zorder=-2)\n",
+    "ax.annotate('50 Hz', xy=(20, 1), xycoords='data', bbox=dict(fc='white', alpha=0.8, ec='none'))\n",
+    "font = {'family' : 'normal',\n",
+    "        'weight' : 'normal',\n",
+    "        'size'   : 10}\n",
+    "matplotlib.rc('font', **font)\n",
+    "fig.savefig('fig_out/mains_voltage_spectrum.eps')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 43,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "<ipython-input-43-2e31f0cb9460>:21: 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, ax = plt.subplots()\n"
+     ]
+    },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "8eb3621b74c04c4fb7dd3e919f0d1fed",
+       "model_id": "37e159955f114f36824dd42da060b9ea",
        "version_major": 2,
        "version_minor": 0
       },
@@ -676,55 +674,83 @@
     {
      "data": {
       "text/plain": [
-       "(5e-07, 0.02)"
+       "[<matplotlib.lines.Line2D at 0x7fafc108cdc0>]"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 43,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "# Number of samplepoints\n",
-    "N = len(data)\n",
+    "newcopy = np.copy(f_mean[1:-2])\n",
+    "N = len(newcopy)\n",
     "# sample spacing\n",
-    "T = 1.0 / 10.0\n",
+    "T = 1.0 / 10\n",
     "x = np.linspace(0.0, N*T, N)\n",
-    "yf = scipy.fftpack.fft(data)\n",
-    "xf = np.linspace(0.0, 1.0/(2.0*T), N//2)\n",
+    "yf = scipy.fftpack.fft(newcopy * sig.blackman(N))\n",
+    "xf = np.linspace(0.0, 10/2, N//2)\n",
     "\n",
     "yf = 2.0/N * np.abs(yf[:N//2])\n",
     "\n",
     "average_from = lambda val, start, average_width: np.hstack([val[:start], [ np.mean(val[i:i+average_width]) for i in range(start, len(val), average_width) ]])\n",
     "\n",
-    "average_width = 6\n",
-    "average_start = 20\n",
-    "yf = average_from(yf, average_start, average_width)\n",
-    "xf = average_from(xf, average_start, average_width)\n",
-    "yf = average_from(yf, 70, 4)\n",
-    "xf = average_from(xf, 70, 4)\n",
+    "average_width1, average_start1 = 3, 40\n",
+    "average_width2, average_start2 = 4, 100\n",
+    "yf = average_from(yf, average_start1, average_width1)\n",
+    "xf = average_from(xf, average_start1, average_width1)\n",
+    "yf = average_from(yf, average_start2, average_width2)\n",
+    "xf = average_from(xf, average_start2, average_width2)\n",
     "\n",
     "fig, ax = plt.subplots()\n",
     "ax.loglog(xf, yf)\n",
     "ax.xaxis.set_major_formatter(plt.FuncFormatter(lambda x, _pos: f'{1/x:.1f}'))\n",
-    "ax.set_xlabel('T in s')\n",
-    "ax.set_ylabel('Amplitude Δf')\n",
+    "ax.set_xlabel('T [s]')\n",
+    "ax.set_ylabel('Amplitude Δf [Hz]')\n",
     "\n",
-    "for i, t in enumerate([45, 60, 600, 1200, 1800, 3600]):\n",
+    "for i, t in enumerate([60, 300, 450, 1200, 1800]):\n",
     "    ax.axvline(1/t, color='red', alpha=0.5)\n",
     "    ax.annotate(f'{t} s', xy=(1/t, 3e-5), xytext=(-15, 0), xycoords='data', textcoords='offset pixels', rotation=90)\n",
     "#ax.text(1/60, 10,'60 s', ha='left')\n",
     "ax.grid()\n",
-    "ax.set_xlim([1/60000, 0.5])\n",
-    "ax.set_ylim([5e-7, 2e-2])"
+    "#ax.set_xlim([1/60000, 0.5])\n",
+    "ax.set_ylim([5e-7, 2e-2])\n",
+    "ax.plot(xf[1:], 2e-6/xf[1:])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "671ae919bf124e72b54144310ea1602d",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots()\n",
+    "ax.plot(np.linspace(0, (len(f_mean)-3)/10, len(f_mean)-3) , f_mean[1:-2])\n",
+    "ax.grid()"
    ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "winlabenv",
+   "display_name": "labenv",
    "language": "python",
-   "name": "winlabenv"
+   "name": "labenv"
   },
   "language_info": {
    "codemirror_mode": {
@@ -736,7 +762,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.6"
+   "version": "3.8.2"
   }
  },
  "nbformat": 4,
diff --git a/lab-windows/rocof_test_data/rocof_test_amplitude_and_phase_steps_1kHz.bin b/lab-windows/rocof_test_data/rocof_test_amplitude_and_phase_steps_1kHz.bin
index 008a752..6e76519 100644
Binary files a/lab-windows/rocof_test_data/rocof_test_amplitude_and_phase_steps_1kHz.bin and b/lab-windows/rocof_test_data/rocof_test_amplitude_and_phase_steps_1kHz.bin differ
diff --git a/lab-windows/rocof_test_data/rocof_test_amplitude_steps_1kHz.bin b/lab-windows/rocof_test_data/rocof_test_amplitude_steps_1kHz.bin
index 0240e23..ae74494 100644
Binary files a/lab-windows/rocof_test_data/rocof_test_amplitude_steps_1kHz.bin and b/lab-windows/rocof_test_data/rocof_test_amplitude_steps_1kHz.bin differ
diff --git a/lab-windows/rocof_test_data/rocof_test_noise_1kHz.bin b/lab-windows/rocof_test_data/rocof_test_noise_1kHz.bin
index c59cf96..7f21a88 100644
Binary files a/lab-windows/rocof_test_data/rocof_test_noise_1kHz.bin and b/lab-windows/rocof_test_data/rocof_test_noise_1kHz.bin differ
diff --git a/lab-windows/rocof_test_data/rocof_test_noise_loud_1kHz.bin b/lab-windows/rocof_test_data/rocof_test_noise_loud_1kHz.bin
index 58ab5b6..4144327 100644
Binary files a/lab-windows/rocof_test_data/rocof_test_noise_loud_1kHz.bin and b/lab-windows/rocof_test_data/rocof_test_noise_loud_1kHz.bin differ
diff --git a/lab-windows/rocof_test_data/rocof_test_phase_steps_1kHz.bin b/lab-windows/rocof_test_data/rocof_test_phase_steps_1kHz.bin
index 2faebce..95f1931 100644
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