http://www.iaeme.com/IJEET/index.asp 64 editor@iaeme.com International Journal of Electrical Engineering and Technology (IJEET) Volume 11, Issue 5, July 2020, pp. 64-72, Article ID: IJEET_11_05_007 Available online at http://www.iaeme.com/ijeet/issues.asp?JType=IJEET&VType=11&IType=5 ISSN Print: 0976-6545 and ISSN Online: 0976-6553 DOI: 10.34218/IJEET.11.5.2020.007 © IAEME Publication Scopus Indexed SPARSITY ASSISTED SIGNAL SMOOTHING IN TIME-SERIES SEISMIC DATA Abhishek Kesharwani, Devika Chib and Shubham Singh Third Year (B-Tech), Vellore Institute of Technology, Vellore, Tamil Nadu, India Dr. Malaya Kumar Hota Professor, Department of Communication Engineering, School of Electronics Engineering, Vellore Institute of Engineering, Vellore, Tamil Nadu, India ABSTRACT Sparsity-assisted signal smoothing (SASS) is dependent on a banded matrix formulation of the recursive filtering of finite length input signals. This paper presents a formulation of higher-order zero-phase lowpass, high-pass, and band-pass infinite impulse response filters as matrices, using the spectral transformation of the state- space representation of digital filters, that avoids the unwanted transient artifacts at signal end-points in the original formulation and denoises marine seismic signals. The simulations have been created by running the code in MATLAB, using synthesized data, thus the results can be compared with the other methods easily. The problems posed while noise removal by conventional methods are also discussed. We have tried our best in presenting this new technology and the output obtained for the same clearly indicates the effectiveness and robustness of a SASS denoising algorithm and has a wide scope of application in the future, which can be a very important asset to the research process. Key words: Sparsity-assisted signal smoothing, banded matrix formulation, low-pass, high-pass, band-pass filter. Cite this Article: Abhishek Kesharwani, Devika Chib, Shubham Singh and Dr. Malaya Kumar Hota, Sparsity Assisted Signal Smoothing in Time-Series Seismic Data. International Journal of Electrical Engineering and Technology, 11(5), 2020, pp. 64-72. http://www.iaeme.com/IJEET/issues.asp?JType=IJEET&VType=11&IType=5 1. INTRODUCTION The presence of Noise in marine seismic signals is a major menace and must be removed for the data to be further processed. This noise is incoherent along the spatial direction. Hence, there are several methods that have been developed to tackle this problem. Signal denoising of time-series data is a very widely used technology and many areas of science are implementing it extensively in research these days. One of its many popular uses,