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This commit is contained in:
Patrick Hangl
2026-05-08 12:27:44 +02:00
parent 53fbf70ed1
commit c44a2bf6bc
6 changed files with 154 additions and 74 deletions
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ANR_high_level.ipynb
+105 -46
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@@ -48,7 +48,7 @@
" modified_signal = np.fft.irfft(modified_freq_signal, n=N)\n", " modified_signal = np.fft.irfft(modified_freq_signal, n=N)\n",
" return modified_signal\n", " return modified_signal\n",
"\n", "\n",
"# High-Level ANR Algorithmmus\n", "# High-Level ANR Algorithmmus - nicht deterministisch, daher nicht gleiche Ergebnisse wie in C\n",
"def anr_function(input, ref_noise, coefficients, mu, adaption_step = 1):\n", "def anr_function(input, ref_noise, coefficients, mu, adaption_step = 1):\n",
" coefficient_matrix = np.zeros((len(input), coefficients), dtype=np.float32)\n", " coefficient_matrix = np.zeros((len(input), coefficients), dtype=np.float32)\n",
" output=np.zeros(input.shape[0], dtype=np.float32)\n", " output=np.zeros(input.shape[0], dtype=np.float32)\n",
@@ -88,8 +88,8 @@
" error = input[n] - accumulator\n", " error = input[n] - accumulator\n",
" output[n] = error\n", " output[n] = error\n",
" # update_filter_coeffcients: Filterkoeffizienten adaptieren\n", " # update_filter_coeffcients: Filterkoeffizienten adaptieren\n",
" if (n % adaption_step) == 0: # bei Rate x/adatpion_step: if (n % adaption_step) < x:\n", " #if (n % adaption_step) == 0: # bei Rate x/adatpion_step: if (n % adaption_step) < x:\n",
" #if abs(error) > 0.00: # nur adaptieren wenn Fehler über Schwellwert\n", " if (abs(error)*ref_noise[n]) > 0.000001: # nur adaptieren wenn Fehler über Schwellwert\n",
" counter += 1\n", " counter += 1\n",
" filter_line += mu * error * sample_line\n", " filter_line += mu * error * sample_line\n",
" # Filterkoeffizienten expoertieren\n", " # Filterkoeffizienten expoertieren\n",
@@ -966,6 +966,8 @@
"update_gain_breathing = update_rate_breathing[:, 2]\n", "update_gain_breathing = update_rate_breathing[:, 2]\n",
"update_cycles_breathing = update_rate_breathing[:, 4]\n", "update_cycles_breathing = update_rate_breathing[:, 4]\n",
"update_load_breathing = update_rate_breathing[:, 5]\n", "update_load_breathing = update_rate_breathing[:, 5]\n",
"update_cycles_breathing_new = update_rate_breathing[:, 7]\n",
"update_load_breathing_new = update_rate_breathing[:, 8]\n",
"\n", "\n",
"# Sortieren\n", "# Sortieren\n",
"idx = np.argsort(x)\n", "idx = np.argsort(x)\n",
@@ -973,6 +975,8 @@
"update_gain_breathing = update_gain_breathing[idx]\n", "update_gain_breathing = update_gain_breathing[idx]\n",
"update_cycles_breathing = update_cycles_breathing[idx]\n", "update_cycles_breathing = update_cycles_breathing[idx]\n",
"update_load_breathing = update_load_breathing[idx]\n", "update_load_breathing = update_load_breathing[idx]\n",
"update_cycles_breathing_new = update_cycles_breathing_new[idx]\n",
"update_load_breathing_new = update_load_breathing_new[idx]\n",
"\n", "\n",
"# Smoothing\n", "# Smoothing\n",
"x_smooth = np.linspace(x.min(), x.max(), 300)\n", "x_smooth = np.linspace(x.min(), x.max(), 300)\n",
@@ -980,6 +984,8 @@
"update_gain_smooth = make_interp_spline(x, update_gain_breathing)(x_smooth)\n", "update_gain_smooth = make_interp_spline(x, update_gain_breathing)(x_smooth)\n",
"update_cycles_smooth = make_interp_spline(x, update_cycles_breathing)(x_smooth)\n", "update_cycles_smooth = make_interp_spline(x, update_cycles_breathing)(x_smooth)\n",
"update_load_smooth = make_interp_spline(x, update_load_breathing)(x_smooth)\n", "update_load_smooth = make_interp_spline(x, update_load_breathing)(x_smooth)\n",
"update_cycles_smooth_new = make_interp_spline(x, update_cycles_breathing_new)(x_smooth)\n",
"update_load_smooth_new = make_interp_spline(x, update_load_breathing_new)(x_smooth)\n",
"\n", "\n",
"diff_smooth = np.abs(update_gain_smooth - update_cycles_smooth)\n", "diff_smooth = np.abs(update_gain_smooth - update_cycles_smooth)\n",
"idx_max = np.argmax(diff_smooth)\n", "idx_max = np.argmax(diff_smooth)\n",
@@ -988,17 +994,31 @@
"y2_max = update_cycles_smooth[idx_max]\n", "y2_max = update_cycles_smooth[idx_max]\n",
"\n", "\n",
"# Plot\n", "# Plot\n",
"plt.figure(figsize=(15, 7))\n", "figure1, ax1 = plt.subplots(figsize=(15, 7))\n",
"plt.plot(x_smooth, update_gain_smooth, linestyle='--', color='indianred', linewidth=2, alpha=0.9, label='SNR-Gain')\n", "ax1.plot(x_smooth, update_gain_smooth, linestyle='--', color='indianred', linewidth=2, alpha=0.9, label='SNR-Gain')\n",
"plt.plot(x_smooth, update_cycles_smooth, linestyle='-.', color='skyblue', linewidth=2, alpha=0.9, label='Cycles/Sample')\n", "ax1.plot(x_smooth, update_cycles_smooth, linestyle='-.', color='skyblue', linewidth=2, alpha=0.9, label='Cycles/Sample')\n",
"plt.plot(x_smooth, update_load_smooth, linestyle=':', color='forestgreen', linewidth=2, alpha=0.9, label='DSP Load')\n", "ax1.plot(x_smooth, update_load_smooth, linestyle=':', color='forestgreen', linewidth=2, alpha=0.9, label='DSP Load')\n",
"plt.plot([x_max, x_max], [y1_max, y2_max], color='black', linestyle=':', linewidth=2)\n", "ax1.plot([x_max, x_max], [y1_max, y2_max], color='black', linestyle=':', linewidth=2)\n",
"\n", "\n",
"plt.scatter(x, update_gain_breathing, color='indianred', s=40)\n", "ax1.scatter(x, update_gain_breathing, color='indianred', s=40)\n",
"plt.scatter(x, update_cycles_breathing, color='skyblue', s=40)\n", "ax1.scatter(x, update_cycles_breathing, color='skyblue', s=40)\n",
"plt.scatter(x, update_load_breathing, color='forestgreen', s=40)\n", "ax1.scatter(x, update_load_breathing, color='forestgreen', s=40)\n",
"\n", "\n",
"plt.text(x_max, (y1_max + y2_max)/2+0.1,\n", "# Plot\n",
"figure2, ax2 = plt.subplots(figsize=(15, 7))\n",
"ax2.plot(x_smooth, update_gain_smooth, linestyle='--', color='indianred', linewidth=2, alpha=0.9, label='SNR-Gain')\n",
"ax2.plot(x_smooth, update_cycles_smooth, linestyle='-.', color='skyblue', linewidth=2, alpha=0.3)\n",
"ax2.plot(x_smooth, update_load_smooth, linestyle=':', color='forestgreen', linewidth=2, alpha=0.3)\n",
"ax2.plot(x_smooth, update_cycles_smooth_new, linestyle='-', color='skyblue', linewidth=2, alpha=0.9, label='Cycles/Sample (New)')\n",
"ax2.plot(x_smooth, update_load_smooth_new, linestyle='-', color='forestgreen', linewidth=2, alpha=0.9, label='DSP Load (New)')\n",
"\n",
"ax2.scatter(x, update_gain_breathing, color='indianred', s=40)\n",
"ax2.scatter(x, update_cycles_breathing, color='skyblue', s=40, alpha=0.3)\n",
"ax2.scatter(x, update_load_breathing, color='forestgreen', s=40, alpha=0.3)\n",
"ax2.scatter(x, update_cycles_breathing_new, color='skyblue', s=40)\n",
"ax2.scatter(x, update_load_breathing_new, color='forestgreen', s=40)\n",
"\n",
"ax1.text(x_max, (y1_max + y2_max)/2+0.1,\n",
" f'Max. offset at update rate {x_max:.2f}',\n", " f'Max. offset at update rate {x_max:.2f}',\n",
" fontsize=20,\n", " fontsize=20,\n",
" ha='left')\n", " ha='left')\n",
@@ -1014,19 +1034,30 @@
"})\n", "})\n",
"\n", "\n",
"\n", "\n",
"plt.xlabel(\"Update Rate\")\n", "ax1.set_xlabel(\"Update Rate\")\n",
"plt.ylabel(\"Relative Performance\")\n", "ax1.set_ylabel(\"Relative Performance\")\n",
"plt.grid(True, linestyle='-.', alpha=0.4)\n", "ax2.set_xlabel(\"Update Rate\")\n",
"ax2.set_ylabel(\"Relative Performance\")\n",
"ax1.grid(True, linestyle='-.', alpha=0.4)\n",
"ax2.grid(True, linestyle='-.', alpha=0.4)\n",
"#Spines auf ganzen Plot anwenden\n", "#Spines auf ganzen Plot anwenden\n",
"plt.gca().yaxis.set_major_formatter(mtick.PercentFormatter(1.0))\n", "ax1.yaxis.set_major_formatter(mtick.PercentFormatter(1.0))\n",
"plt.gca().spines['top'].set_visible(False)\n", "ax2.yaxis.set_major_formatter(mtick.PercentFormatter(1.0))\n",
"plt.gca().spines['right'].set_visible(False)\n", "ax1.spines['top'].set_visible(False)\n",
"plt.gca().invert_xaxis()\n", "ax1.spines['right'].set_visible(False)\n",
"plt.legend(frameon=False, loc='upper right')\n", "ax2.spines['top'].set_visible(False)\n",
"plt.tight_layout()\n", "ax2.spines['right'].set_visible(False)\n",
"ax1.invert_xaxis()\n",
"ax2.invert_xaxis()\n",
"ax1.legend(frameon=False, loc='upper right')\n",
"ax2.legend(frameon=False, loc='upper right')\n",
"figure1.tight_layout()\n",
"figure2.tight_layout()\n",
"if PLOT == True:\n", "if PLOT == True:\n",
" plt.savefig(f'plots/fig_snr_update_rate', dpi=600)\n", " figure1.savefig(f'plots/fig_snr_update_rate', dpi=600)\n",
"plt.show()\n" " figure2.savefig(f'plots/fig_snr_update_rate_new', dpi=600)\n",
"figure1.show()\n",
"figure2.show()\n"
] ]
}, },
{ {
@@ -1232,6 +1263,8 @@
"error_gain = data_error_threshold[:, 2]\n", "error_gain = data_error_threshold[:, 2]\n",
"error_cycles = data_error_threshold[:, 6]\n", "error_cycles = data_error_threshold[:, 6]\n",
"error_load = data_error_threshold[:, 7]\n", "error_load = data_error_threshold[:, 7]\n",
"error_cycles_new = data_error_threshold[:, 9]\n",
"error_load_new = data_error_threshold[:, 10]\n",
"\n", "\n",
"# Sortieren\n", "# Sortieren\n",
"idx = np.argsort(x)\n", "idx = np.argsort(x)\n",
@@ -1239,13 +1272,16 @@
"error_gain = error_gain[idx]\n", "error_gain = error_gain[idx]\n",
"error_cycles = error_cycles[idx]\n", "error_cycles = error_cycles[idx]\n",
"error_load = error_load[idx]\n", "error_load = error_load[idx]\n",
"\n", "error_cycles_new = error_cycles_new[idx]\n",
"error_load_new = error_load_new[idx]\n",
"# Smoothing\n", "# Smoothing\n",
"x_smooth = np.linspace(x.min(), x.max(), 300)\n", "x_smooth = np.linspace(x.min(), x.max(), 300)\n",
"\n", "\n",
"gain_smooth = make_interp_spline(x, error_gain)(x_smooth)\n", "gain_smooth = make_interp_spline(x, error_gain)(x_smooth)\n",
"cycles_smooth = make_interp_spline(x, error_cycles)(x_smooth)\n", "cycles_smooth = make_interp_spline(x, error_cycles)(x_smooth)\n",
"comp_smooth = make_interp_spline(x, error_load)(x_smooth)\n", "load_smooth = make_interp_spline(x, error_load)(x_smooth)\n",
"cycles_smooth_new = make_interp_spline(x, error_cycles_new)(x_smooth)\n",
"load_smooth_new = make_interp_spline(x, error_load_new)(x_smooth)\n",
"\n", "\n",
"diff_smooth = np.abs(gain_smooth - cycles_smooth)\n", "diff_smooth = np.abs(gain_smooth - cycles_smooth)\n",
"idx_max = np.argmax(diff_smooth)\n", "idx_max = np.argmax(diff_smooth)\n",
@@ -1254,17 +1290,31 @@
"y2_max = cycles_smooth[idx_max]\n", "y2_max = cycles_smooth[idx_max]\n",
"\n", "\n",
"# Plot\n", "# Plot\n",
"plt.figure(figsize=(15, 7))\n", "figure1, ax1 = plt.subplots(figsize=(15, 7))\n",
"plt.plot(x_smooth, gain_smooth, linestyle='--', color='indianred', linewidth=2, alpha=0.9, label='SNR-Gain')\n", "ax1.plot(x_smooth, gain_smooth, linestyle='--', color='indianred', linewidth=2, alpha=0.9, label='SNR-Gain')\n",
"plt.plot(x_smooth, cycles_smooth, linestyle='-.', color='skyblue', linewidth=2, alpha=0.9, label='Cycles/Sample')\n", "ax1.plot(x_smooth, cycles_smooth, linestyle='-.', color='skyblue', linewidth=2, alpha=0.9, label='Cycles/Sample')\n",
"plt.plot(x_smooth, comp_smooth, linestyle=':', color='forestgreen', linewidth=2, alpha=0.9, label='DSP Load')\n", "ax1.plot(x_smooth, load_smooth, linestyle=':', color='forestgreen', linewidth=2, alpha=0.9, label='DSP Load')\n",
"plt.plot([x_max, x_max], [y1_max, y2_max], color='black', linestyle=':', linewidth=2)\n", "ax1.plot([x_max, x_max], [y1_max, y2_max], color='black', linestyle=':', linewidth=2)\n",
"\n", "\n",
"plt.scatter(x, error_gain, color='indianred', s=40)\n", "ax1.scatter(x, error_gain, color='indianred', s=40)\n",
"plt.scatter(x, error_cycles, color='skyblue', s=40)\n", "ax1.scatter(x, error_cycles, color='skyblue', s=40)\n",
"plt.scatter(x, error_load, color='forestgreen', s=40)\n", "ax1.scatter(x, error_load, color='forestgreen', s=40)\n",
"\n", "\n",
"plt.text(x_max, (y1_max + y2_max)/2+0.21,\n", "figure2, ax2 = plt.subplots(figsize=(15, 7))\n",
"ax2.plot(x_smooth, gain_smooth, linestyle='--', color='indianred', linewidth=2, alpha=0.9, label='SNR-Gain')\n",
"ax2.plot(x_smooth, cycles_smooth, linestyle='-.', color='skyblue', linewidth=2, alpha=0.3)\n",
"ax2.plot(x_smooth, load_smooth, linestyle=':', color='forestgreen', linewidth=2, alpha=0.3)\n",
"ax2.plot(x_smooth, cycles_smooth_new, linestyle='-', color='skyblue', linewidth=2, alpha=0.9, label='Cycles/Sample (New)')\n",
"ax2.plot(x_smooth, load_smooth_new, linestyle='-', color='forestgreen', linewidth=2, alpha=0.9, label='DSP Load (New)')\n",
"\n",
"\n",
"ax2.scatter(x, error_gain, color='indianred', s=40)\n",
"ax2.scatter(x, error_cycles, color='skyblue', s=40, alpha=0.3)\n",
"ax2.scatter(x, error_load, color='forestgreen', s=40, alpha=0.3)\n",
"ax2.scatter(x, error_cycles_new, color='skyblue', s=40,)\n",
"ax2.scatter(x, error_load_new, color='forestgreen', s=40)\n",
"\n",
"ax1.text(x_max, (y1_max + y2_max)/2+0.21,\n",
" f'Max. offset at threshold {x_max:.2f}',\n", " f'Max. offset at threshold {x_max:.2f}',\n",
" fontsize=20,\n", " fontsize=20,\n",
" ha='left')\n", " ha='left')\n",
@@ -1279,19 +1329,28 @@
" 'legend.fontsize': 25 # Legende\n", " 'legend.fontsize': 25 # Legende\n",
"})\n", "})\n",
"\n", "\n",
"plt.xlabel(\"Error Threshold\")\n", "ax1.set_xlabel(\"Error Threshold\")\n",
"plt.ylabel(\"Relative Performance\")\n", "ax1.set_ylabel(\"Relative Performance\")\n",
"plt.grid(True, linestyle='-.', alpha=0.4)\n", "ax2.set_xlabel(\"Error Threshold\")\n",
"ax2.set_ylabel(\"Relative Performance\")\n",
"ax1.grid(True, linestyle='-.', alpha=0.4)\n",
"ax2.grid(True, linestyle='-.', alpha=0.4)\n",
"#Spines auf ganzen Plot anwenden\n", "#Spines auf ganzen Plot anwenden\n",
"plt.gca().yaxis.set_major_formatter(mtick.PercentFormatter(1.0))\n", "ax1.yaxis.set_major_formatter(mtick.PercentFormatter(1.0))\n",
"plt.gca().spines['top'].set_visible(False)\n", "ax2.yaxis.set_major_formatter(mtick.PercentFormatter(1.0))\n",
"plt.gca().spines['right'].set_visible(False)\n", "ax1.spines['top'].set_visible(False)\n",
"#plt.gca().invert_xaxis()\n", "ax1.spines['right'].set_visible(False)\n",
"plt.legend(frameon=False, loc='upper right')\n", "ax2.spines['top'].set_visible(False)\n",
"plt.tight_layout()\n", "ax2.spines['right'].set_visible(False)\n",
"ax1.legend(frameon=False, loc='upper right')\n",
"ax2.legend(frameon=False, loc='upper right')\n",
"figure1.tight_layout()\n",
"figure2.tight_layout()\n",
"if PLOT == True:\n", "if PLOT == True:\n",
" plt.savefig(f'plots/fig_snr_error_threshold', dpi=600)\n", " figure1.savefig(f'plots/fig_snr_error_threshold', dpi=600)\n",
"plt.show()\n" " figure2.savefig(f'plots/fig_snr_error_threshold_new', dpi=600)\n",
"figure1.show()\n",
"figure2.show()\n"
] ]
}, },
{ {
@@ -1473,7 +1532,7 @@
], ],
"metadata": { "metadata": {
"kernelspec": { "kernelspec": {
"display_name": ".venv", "display_name": ".venv (3.9.13)",
"language": "python", "language": "python",
"name": "python3" "name": "python3"
}, },
DSP_output.ipynb
+23 -2
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threshold_evaluation/error_threshold.xlsx
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threshold_evaluation/error_threshold_breathing.csv
+18 -18
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@@ -1,18 +1,18 @@
Threshold;SNR_Gain;%SNR_Gain;Adjustments;%Adjustments;Cycles;%Cycles;DSP_Load Threshold;SNR_Gain;%SNR_Gain;Adjustments;%Adjustments;Cycles;%Cycles;DSP_Load;Cycles_new;%Cycles_new;DSP_Load_new
0;9.47;1.000;200000;1.000;357;1.000;0.446 0;9.47;1.000;200000;1.000;357;1.000;0.446;367;1.000;0.459
0.001;9.47;1.000;174704;0.874;322;0.902;0.402 0.001;9.47;1.000;174704;0.874;322;0.902;0.402;332;0.904;0.415
0.005;9.43;0.996;133980;0.670;265;0.743;0.332 0.005;9.43;0.996;133980;0.670;265;0.743;0.332;275;0.750;0.344
0.01;9.27;0.979;108728;0.544;230;0.645;0.288 0.01;9.27;0.979;108728;0.544;230;0.645;0.288;240;0.654;0.300
0.02;8.63;0.911;81434;0.407;192;0.538;0.240 0.02;8.63;0.911;81434;0.407;192;0.538;0.240;202;0.551;0.253
0.03;7.84;0.828;66027;0.330;171;0.478;0.213 0.03;7.84;0.828;66027;0.330;171;0.478;0.213;181;0.493;0.226
0.04;7.12;0.752;55964;0.280;157;0.439;0.196 0.04;7.12;0.752;55964;0.280;157;0.439;0.196;167;0.454;0.208
0.05;6.56;0.693;48488;0.242;146;0.410;0.183 0.05;6.56;0.693;48488;0.242;146;0.410;0.183;156;0.426;0.195
0.06;6.12;0.646;42814;0.214;139;0.388;0.173 0.06;6.12;0.646;42814;0.214;139;0.388;0.173;149;0.405;0.186
0.07;5.75;0.607;37829;0.189;132;0.369;0.164 0.07;5.75;0.607;37829;0.189;132;0.369;0.164;142;0.386;0.177
0.08;5.46;0.577;33634;0.168;126;0.352;0.157 0.08;5.46;0.577;33634;0.168;126;0.352;0.157;136;0.370;0.170
0.09;5.28;0.558;29944;0.150;121;0.338;0.151 0.09;5.28;0.558;29944;0.150;121;0.338;0.151;131;0.356;0.163
0.1;5.15;0.544;26675;0.133;116;0.325;0.145 0.1;5.15;0.544;26675;0.133;116;0.325;0.145;126;0.344;0.158
0.2;4.19;0.442;7867;0.039;90;0.252;0.112 0.2;4.19;0.442;7867;0.039;90;0.252;0.112;100;0.272;0.125
0.3;2.87;0.303;1852;0.009;82;0.228;0.102 0.3;2.87;0.303;1852;0.009;82;0.228;0.102;92;0.250;0.114
0.4;1.24;0.131;268;0.001;79;0.222;0.099 0.4;1.24;0.131;268;0.001;79;0.222;0.099;89;0.244;0.112
0.5;0.47;0.050;55;0.000;79;0.222;0.099 0.5;0.47;0.050;55;0.000;79;0.222;0.099;89;0.243;0.111
1 Threshold SNR_Gain %SNR_Gain Adjustments %Adjustments Cycles %Cycles DSP_Load Cycles_new %Cycles_new DSP_Load_new
2 0 9.47 1.000 200000 1.000 357 1.000 0.446 367 1.000 0.459
3 0.001 9.47 1.000 174704 0.874 322 0.902 0.402 332 0.904 0.415
4 0.005 9.43 0.996 133980 0.670 265 0.743 0.332 275 0.750 0.344
5 0.01 9.27 0.979 108728 0.544 230 0.645 0.288 240 0.654 0.300
6 0.02 8.63 0.911 81434 0.407 192 0.538 0.240 202 0.551 0.253
7 0.03 7.84 0.828 66027 0.330 171 0.478 0.213 181 0.493 0.226
8 0.04 7.12 0.752 55964 0.280 157 0.439 0.196 167 0.454 0.208
9 0.05 6.56 0.693 48488 0.242 146 0.410 0.183 156 0.426 0.195
10 0.06 6.12 0.646 42814 0.214 139 0.388 0.173 149 0.405 0.186
11 0.07 5.75 0.607 37829 0.189 132 0.369 0.164 142 0.386 0.177
12 0.08 5.46 0.577 33634 0.168 126 0.352 0.157 136 0.370 0.170
13 0.09 5.28 0.558 29944 0.150 121 0.338 0.151 131 0.356 0.163
14 0.1 5.15 0.544 26675 0.133 116 0.325 0.145 126 0.344 0.158
15 0.2 4.19 0.442 7867 0.039 90 0.252 0.112 100 0.272 0.125
16 0.3 2.87 0.303 1852 0.009 82 0.228 0.102 92 0.250 0.114
17 0.4 1.24 0.131 268 0.001 79 0.222 0.099 89 0.244 0.112
18 0.5 0.47 0.050 55 0.000 79 0.222 0.099 89 0.243 0.111
update_rate_evaluation/update_rate.xlsx
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update_rate_evaluation/update_rate_breathing.csv
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Update_Rate;SNR_Gain;%SNR_Gain;Cycles;%Cycles;%DSP_Load Update_Rate;SNR_Gain;%SNR_Gain;Cycles;%Cycles;%DSP_Load;Cycles_new;%Cycles_new;%DSP_Load_new
1;9.47;1;357;1;0.446 1;9.47;1;357;1;0.446;386;1.000;0.483
0.75;8.54;0.902;288;0.805;0.359 0.75;8.54;0.902;288;0.805;0.359;317;0.820;0.396
0.66;8.16;0.862;262;0.735;0.328 0.66;8.16;0.862;262;0.735;0.328;291;0.755;0.364
0.5;7.27;0.768;218;0.611;0.273 0.5;7.27;0.768;218;0.611;0.273;247;0.640;0.309
0.33;6.05;0.639;171;0.478;0.213 0.33;6.05;0.639;171;0.478;0.213;200;0.517;0.250
0.25;5.21;0.550;149;0.416;0.186 0.25;5.21;0.550;149;0.416;0.186;178;0.460;0.222
0.2;4.59;0.485;135;0.377;0.168 0.2;4.59;0.485;135;0.377;0.168;164;0.424;0.205
1 Update_Rate SNR_Gain %SNR_Gain Cycles %Cycles %DSP_Load Cycles_new %Cycles_new %DSP_Load_new
2 1 9.47 1 357 1 0.446 386 1.000 0.483
3 0.75 8.54 0.902 288 0.805 0.359 317 0.820 0.396
4 0.66 8.16 0.862 262 0.735 0.328 291 0.755 0.364
5 0.5 7.27 0.768 218 0.611 0.273 247 0.640 0.309
6 0.33 6.05 0.639 171 0.478 0.213 200 0.517 0.250
7 0.25 5.21 0.550 149 0.416 0.186 178 0.460 0.222
8 0.2 4.59 0.485 135 0.377 0.168 164 0.424 0.205