abstract revised for ecg_sep.ipynb

doc/ipython-notebooks/ica/ecg_sep.ipynb

@@ -1,6 +1,7 @@
 {
  "metadata": {
-  "name": ""
+  "name": "",
+  "signature": "sha256:dca9f807a72d347aff1673d48e6784e765fa605f77edb8b87cc9654049766572"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
@@ -27,7 +28,7 @@
      "cell_type": "markdown",
      "metadata": {},
      "source": [
-      "An interesting application of Independent Component Analysis (ICA) is extracting a baby's Electrocardiogram (ECG) by performing Blind Source Separation (BSS) on several time synchronised ECG's of the baby's mother."
+      "This notebook illustrates <a href=\"http://en.wikipedia.org/wiki/Blind_signal_separation\">Blind Source Seperation</a>(BSS) on several time synchronised Electrocardiogram's (ECG's) of the baby's mother using <a href=\"http://en.wikipedia.org/wiki/Independent_component_analysis\">Independent Component Analysis</a> (ICA) in Shogun. This is used to extract the baby's ECG from it."
      ]
     },
     {