Data Compression using Multiple Transformation Techniques for Audio Applications
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 6
Abstract
Abstract: As Multimedia Technology is growing day by day over past decades, therefore demand for digital information increasing rapidly. This digital information contains multimedia files like image files, audio files that require a large space so no other option than compression. In Compression high input stream of data is converted into small size. Data Compression for audio purposes is a field of digital signal processing that focuses on reducing bit-rate of audio signals to enhance transmission speed and storage capacity of fastdeveloping multimedia by removing large amount of unnecessary duplicate data. The advantages of the compression technique are reduction in storage space, bandwidth, transmission power and energy. This paper is based on transform technology for compression of the audio signal. In this methodology, different transforms such as Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT) are used. Mean compression ratio is calculated for DCT & DWT. Performance measures like peak signal-to-noise ratio (PSNR), signal-tonoise ratio (SNR) & normalized root mean square error (NRMSE) are calculated and then compared.
Authors and Affiliations
Arashpreet Kaur , Rajesh Mehra
Keywords
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