AC Design of 2-Stage Miller Amplifier Demo.ipynb

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    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "import sympy as sp\n",
    "import acdesign"
   ]
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   "id": "6d59cc8e",
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    "gm1, go1, CM, gm2, YL, s = sp.symbols(r\"g_{m1} g_{o1} C_M g_{m2} Y_L s\")\n",
    "ro1, RL, GL, CL = sp.symbols(r\"r_{o1} R_L G_L C_L\")\n",
    "w, f = sp.symbols(r'\\omega f')\n",
    "\n",
    "G_exact = sp.Matrix(\n",
    "    [\n",
    "        [0, 0, 0, 1],\n",
    "        [-gm1, go1 + s * CM, -s * CM, 0],\n",
    "        [0, gm2 - s * CM, YL + s * CM, 0],\n",
    "        [1, 0, 0, 0],\n",
    "    ]\n",
    ")\n",
    "\n",
    "G_approx = sp.Matrix(\n",
    "    [\n",
    "        [0, 0, 0, 1],\n",
    "        [-gm1, go1 + s * gm2 * RL * CM, 0, 0],\n",
    "        [0, gm2, YL, 0],\n",
    "        [1, 0, 0, 0],\n",
    "    ]\n",
    ")\n",
    "\n",
    "amp_exact = acdesign.Amplifier(G_exact)\n",
    "fn_exact = amp_exact.voltage_gain()\n",
    "\n",
    "amp_approx = acdesign.Amplifier(G_approx)\n",
    "fn_approx = amp_approx.voltage_gain()"
   ]
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   "id": "1bcef80b",
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    {
     "data": {
      "text/latex": [
       "$\\displaystyle \\left[\\begin{matrix}0 & 0 & 0 & 1\\\\- g_{m1} & C_{M} s + \\frac{1}{r_{o1}} & - C_{M} s & 0\\\\0 & - C_{M} s + g_{m2} & C_{L} s + C_{M} s + \\frac{1}{R_{L}} & 0\\\\1 & 0 & 0 & 0\\end{matrix}\\right]$"
      ],
      "text/plain": [
       "Matrix([\n",
       "[      0,                0,                     0, 1],\n",
       "[-g_{m1}, C_M*s + 1/r_{o1},                -C_M*s, 0],\n",
       "[      0,  -C_M*s + g_{m2}, C_L*s + C_M*s + 1/R_L, 0],\n",
       "[      1,                0,                     0, 0]])"
      ]
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     "data": {
      "text/plain": [
       "gm1 = 1.000e-02\n",
       "gm2 = 1.000e-02\n",
       "ro1 = 5.000e+05\n",
       "RL = 2.000e+03\n",
       "CL = 1.500e-11\n",
       "CM = 5.000e-12"
      ]
     },
     "execution_count": 3,
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     "output_type": "execute_result"
    }
   ],
   "source": [
    "amp_exact"
   ]
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     "data": {
      "text/latex": [
       "$\\displaystyle \\left[\\begin{matrix}0 & 0 & 0 & 1\\\\- g_{m1} & C_{M} R_{L} g_{m2} s + \\frac{1}{r_{o1}} & 0 & 0\\\\0 & g_{m2} & C_{L} s + \\frac{1}{R_{L}} & 0\\\\1 & 0 & 0 & 0\\end{matrix}\\right]$"
      ],
      "text/plain": [
       "Matrix([\n",
       "[      0,                           0,             0, 1],\n",
       "[-g_{m1}, C_M*R_L*g_{m2}*s + 1/r_{o1},             0, 0],\n",
       "[      0,                      g_{m2}, C_L*s + 1/R_L, 0],\n",
       "[      1,                           0,             0, 0]])"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "gm1 = 1.000e-02\n",
       "gm2 = 1.000e-02\n",
       "ro1 = 5.000e+05\n",
       "RL = 2.000e+03\n",
       "CL = 1.500e-11\n",
       "CM = 5.000e-12"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "amp_approx"
   ]
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Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded() {\n    const el = document.getElementById(\"1002\");\n    if (el != null) {\n      el.textContent = \"BokehJS is loading...\";\n    }\n    if (root.Bokeh !== undefined) {\n      if (el != null) {\n        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(display_loaded, 100)\n    }\n  }\n\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  \n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.1.min.js\"];\n  const css_urls = [];\n  \n\n  const inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    function(Bokeh) {\n    \n    \n    }\n  ];\n\n  function run_inline_js() {\n    \n    if (root.Bokeh !== undefined || force === true) {\n      \n    for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n    if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"1002\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"y\":{\"__ndarray__\":\"3v//////WEDc//////9YQNn//////1hA1///////WEDU//////9YQND//////1hAzv//////WEDK//////9YQMb//////1hAwv//////WEC+//////9YQL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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]}},\"selected\":{\"id\":\"1116\"},\"selection_policy\":{\"id\":\"1115\"}},\"id\":\"1085\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1010\",\"type\":\"LinearScale\"},{\"attributes\":{\"end\":150,\"start\":-50},\"id\":\"1034\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"1042\",\"type\":\"LinearScale\"},{\"attributes\":{\"data\":{\"x\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[1000]}},\"selected\":{\"id\":\"1111\"},\"selection_policy\":{\"id\":\"1110\"}},\"id\":\"1079\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"coordinates\":null,\"data_source\":{\"id\":\"1067\"},\"glyph\":{\"id\":\"1068\"},\"group\":null,\"hover_glyph\":null,\"muted_glyph\":{\"id\":\"1070\"},\"nonselection_glyph\":{\"id\":\"1069\"},\"view\":{\"id\":\"1072\"}},\"id\":\"1071\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"1101\",\"type\":\"AllLabels\"},{\"attributes\":{\"coordinates\":null,\"data_source\":{\"id\":\"1079\"},\"glyph\":{\"id\":\"1080\"},\"group\":null,\"hover_glyph\":null,\"muted_glyph\":{\"id\":\"1082\"},\"nonselection_glyph\":{\"id\":\"1081\"},\"view\":{\"id\":\"1084\"}},\"id\":\"1083\",\"type\":\"GlyphRenderer\"}],\"root_ids\":[\"1091\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.1\"}};\n",
       "  const render_items = [{\"docid\":\"1c11db5f-a4f7-4c60-acad-064ac1145ab8\",\"notebook_comms_target\":\"1118\",\"root_ids\":[\"1091\"],\"roots\":{\"1091\":\"3a9787ca-c578-41a5-84e4-167ed45ae4ab\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    let attempts = 0;\n",
       "    const timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
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