Data Compression Analysis of Rocket Engines with Vector Quantization Based on FCM Algorithm

Abstract

Data compression is the process of reducing the number of bits required to represent a data. Vector quantization is a method to deal with this operation of compression and is used to compresses the data which arise in wide range of applications and it can achieve better compression performance than any conventional coding techniques which is based on the encoding of scalar quantities. This article presents a test data that will be produced on testing the rocket engines in Liquid Propulsion Systems Centre using Fuzzy C-Means (FCM) based vector quantization. In this proposed vector quantization technique, Fuzzy C Means algorithm used to generate a fine initial codebook and then compress the data without loss. Experimental analyses were carried out and the final result concluded that the data compressed successfully without loss when 300 data were applied.