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IETE JOURNAL OF EDUCATION
Vol 49, No 1, January - April
2008
M
Sankar Kishore, M U P Karthik, N K D Reddy, S Sai Sreekanth and A Sampath Kumar
This paper carries out the mathematical analysis and implements linear
restoration filters such as Inverse filter, Pseudo Inverse filter, Wiener
filter, Constrained Least square filter. Linear filters are used to restore
images that are blurred by spatial invariant degradation model and degraded by
additive noise. The performance of each filter is considered based on the
statistical parameter of the restored image. The analysis is carried out for
each filter over a range of noise and blur. The filter transfer function is
optimized to get a nearest estimate to the original image. The performance of
each filter is compared and conclusion are presented.
Source Transformation Theorem Revisited
T S Rathore
It is known that a parallel combination of a current source and a
resistance can be replaced by a series combination of a voltage source and a
resistance and vice versa according to the source transformation theorem. Thus,
the source transformation gives only one current to voltage or voltage to
current equivalent circuit. In this short paper, we show that there is a large
number of current to voltage, voltage to current, current to current and voltage
to voltage source transformation possible under certain given terminal
condition. This result is not given in the text books.
Computation of the Coefficients of Chebyshev Polynomials
S C Dutta Roy
A simple derivation given
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