An Efficient Approach to Signal Compression using Slantlet Transform

Abstract

This paper proposes a novel approach to signal compression (one-dimensional and two-dimensional) using a recently developed multiresolution technique called the Slantlet Transform (ST). The paper outlines the basic principle of ST and suggests an efficient procedure for compression/expansion of the signal using this transform. To compare its performance the DWT compression scheme is also discussed. Exhaustive computer simulation results are carried out on both the techniques for compression and reconstruction operation using standard 1D signals and 2D images. The effect of thresholding and compression potentiality in terms of percentage of retain energy are also assessed. In general, it is observed that the ST is a better candidate for signal compression compared to the DWT based scheme.

Indexing terms:

• Signal compression
• Discrete wavelet transform
• Filter bank

Additional information

Notes on contributors

G Panda

Ganapati Panda obtained his BE degree in Electrical Engg with First Class Honours in 1971, MSc Engg in Communication Systems in 1977 from Sambalpur University and PhD degree in Digital Signal Processing from IIT, Kharagpur in 1982. He was a Common Wealth Fellow at University of Edinburgh during 1984–86 specializing in Adaptive Signal processing. He was a Lecturer (University College of Engg, Burla, Orissa) during 1972–79, Reader (University College of Engg, Burla, Orissa) in electronics during 1979–88. He joined as the founder Head of Applied Electronics and Insnt Engg at Regional Engg College, Rourkela in 1988 and continuing till date. He has published more than 120 research papers in International Journals and Conferences. He is a Fellow of Institute of Engg, India, Fellow of IETE, New Delhi, Life member of ISTE and a Senior Member of IEEE, USA. He has successfully completed many R&D projects sponsored by different agencies. He has visited UK, USA, Japan, France and Singapore on academic assignments. He acts as reviewer for various Journals like IETE (India), IEE (UK) and IEEE (USA).

S K Meher

Saroj Kumar Meher obtained his First Class MSc Physics degree in Electronics Specialization from Regional Engineering College, Rourkela in the year 1997. He then worked as a Research Fellow in Oct '97 under the UGC sponsored Research Project. He is also pursuing his PhD program in the field of “Data Compression Using Advanced USP Techniques” under Sambalpur University. His research interests are Digital Signal Processing, Artificial Neural Network and Fuzzy Logic and their applications to data compression. He has already published many papers in International/National Conferences and Journals.