An adaptive filter is defined as a digital filter that has the capability of self adjusting its transfer function under the control of some optimizing algorithms. Most common optimizing algorithms are Least Mean Square (LMS) and Recursive Least Square (RLS). Although RLS algorithm perform superior to LMS algorithm, it has very high computational complexity so not useful in most of the practical scenario. So most feasible choice of the adaptive filtering algorithm is the LMS algorithm including its various variants. The LMS algorithm uses transversal FIR filter as underlying digital filter. This paper is based on implementation and optimization of LMS algorithm for the application of unknown system identification.

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India is a country with huge populations and similarly number of universities and educational institutes across the country. As per All India Survey of higher education in 2013 conducted by Ministry of Human Resource development there are more than 642 Universities, 34908 colleges and 11356 stand alone institutions. Still there is not even a single educational institute from India which is listed in top 100 in the world. Thus there is an urgent need for the transformation of Indian educational system. This paper evaluates the traditional methods of teaching and suggests different innovating teaching methods. With traditional methods of teaching and learning the present day learners feel uncomfortable a bit. This paper portrays combining this two types how we can make our teaching more effective. The suggested methodologies are applicable to all the streams of knowledge in general but to Electronics engineering in particular. Ultimately whatever the teaching methodology we adopt, but teaching must be learner centric.

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