Update README.md

Author: alexgrusu

README.md

@@ -8,7 +8,36 @@ according some specific criteria.
 The optimized LMS (LMSO) algorithm [1] for system identification is developed in the context of a state variable model, assuming 
 that the unknown system acts as a time-varying system, following a first-order Markov model [2]. 
 
-The proposed algorithm follows an optimization problem and introduces a variable step-size in order to minimize the system misalignment
+The proposed algorithm follows an optimization problem and introduces a variable step-size in order to minimize the system misalignment.
+
+Installation
+============
+
+This poject is on pypi <https://pypi.org/project/lmso-algorithm/>
+
+To install from pypi: 
+
+	pip3 install lmso_algorithm
+  
+From this repository::
+
+	git clone https://github.com/alexgrusu/lmso_algorithm.git
+	python3 setup.py develop
+
+
+Usage
+=====
+
+Supported features:
+
+- The Optimized Least-Mean-Square (LMSO) Algorithm;
+- WGN and AR(1) generators;
+- NMSE computation;
+- Echo path processing.
+
+Example use:
+
+    <example/test.py>.
 
 
 [1] A. G. Rusu, S. Ciochină, and C. Paleologu, “On the step-size optimization of the LMS algorithm,” in Proc. IEEE TSP, 2019, 6 pages.