Selection of Optimum Level of Data Compression for Voltam metric Electronic Tongue Signal Using DWT

Abstract

A voltammetric electronic tongue has been developed for black tea assessment. While attempting to standardize the voltammetric electronic tongue a basic taste recognition test has been conducted. This electronic tongue works on cyclic voltammetric principle and has a three electrode configuration (working, reference, and counter electrode). The voltage is applied across the working and reference electrode and the response current is obtained from the counter and reference electrode. Now the huge amount of data, obtained from these response current pulses, was compressed by discrete wavelet transform (DWT). In this paper, in order to determine the optimum level of compression mean square error, separation index and principal component analysis have been employed.