Compression Of Time Series Signal Using Wavelet Decomposition, Wavelet Packet And Decimated Discrete Wavelet Compression Transforms Techniques And Their Comparison

Abstract: Time series is a collection of observations in well-defined data items obtained through repeated measurements over a uniform time interval. Time series analysis comprises methods for analyzing time series data in order to obtain meaningful statistics and other characteristics of the data transmission time. Compression is the method of reduction in size of data in order to save space or transmission time. Wavelet compression is a form of data compression well defined for image compression. This paper analyzes Wavelet Decomposition, Wavelet Packet and Decimated Discrete Wavelet compression. From the results it is observed that Decimated discrete wavelet compression gives better performance in compression compared with other methods. The wavelet packet method is a generalization of wavelet decomposition that offers a richer wavelet analysis.

Keywords: Time Series Signal, Compression, Wavelet Decomposition, Wavelet Packet, Decimated Discrete Wavelet compression Transforms