Srijan Tripathi

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Principal Component Analysis (PCA) is an efficient method for compressing high dimensional databases [1]. For image compression, it is called Hotelling or KL transform. The central idea of PCA is to reduce the dimensionality of a data set in which there are a large number of interrelated variables. [2] This reduction is achieved by transforming to a new set(More)
Kinematic accuracy of a Tactical Flight Vehicle (TFV) is a critical parameter required during the Target engagement trajectory. There are high accuracy sensor packages available which provides the accurate measurements; but these measurements often suffer from the inherent errors like bias, misalignment and scale factors. These errors lead to erroneous(More)
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