| Introduction to wavelet transform: a signal processing approach SV Narasimhan, N Basumallick, S Veena Alpha Science International, Ltd, 2011 | 49 | 2011 |
| Estimation of evolutionary spectrum based on short time Fourier transform and modified group delay SV Narasimhan, S Pavanalatha Signal Processing 84 (11), 2139-2152, 2004 | 36 | 2004 |
| Application of LMS adaptive predictive filtering for muscle artifact (noise) cancellation from EEG signals SV Narasimhan, DN Dutt Computers & electrical engineering 22 (1), 13-30, 1996 | 33 | 1996 |
| Signal processing: principles and implementation SV Narasimhan, S Veena Alpha Science Int'l Ltd., 2005 | 30 | 2005 |
| Improved active noise control performance based on Laguerre lattice S Veena, SV Narasimhan Signal Processing 84 (4), 695-707, 2004 | 30 | 2004 |
| Discrete cosine harmonic wavelet transform and its application to signal compression and subband spectral estimation using modified group delay SV Narasimhan, M Harish, AR Haripriya, N Basumallick Signal, Image and Video Processing 3, 85-99, 2009 | 27 | 2009 |
| Variable step-size Griffiths’ algorithm for improved performance of feedforward/feedback active noise control SV Narasimhan, S Veena, H Lokesha Signal, image and video processing 4, 309-317, 2010 | 26 | 2010 |
| Spectral estimation based on discrete cosine transform and modified group delay SV Narasimhan, M Harish Signal Processing 86 (7), 1586-1596, 2006 | 26 | 2006 |
| Improved Wigner–Ville distribution performance by signal decomposition and modified group delay SV Narasimhan, MB Nayak Signal Processing 83 (12), 2523-2538, 2003 | 26 | 2003 |
| S-transform based on analytic discrete cosine transform for time–frequency analysis S Roopa, SV Narasimhan Signal processing 105, 207-215, 2014 | 21 | 2014 |
| Channel blind identification based on cyclostationarity and group delay SV Narasimhan, M Hazarathaiah, PVS Giridhar Signal Processing 85 (7), 1275-1286, 2005 | 19 | 2005 |
| New unbiased adaptive IIR filter: it’s robust and variable step-size versions and application to active noise control SV Narasimhan, S Veena Signal, Image and Video Processing 7, 197-207, 2013 | 18 | 2013 |
| Improved Wigner–Ville distribution performance based on DCT/DFT harmonic wavelet transform and modified magnitude group delay SV Narasimhan, AR Haripriya, BKS Kumar Signal Processing 88 (1), 1-18, 2008 | 16 | 2008 |
| Orthogonal frequency division multiplexing peak‐to‐average power ratio reduction by best tree selection using coded discrete cosine harmonic wavelet packet transform MN Suma, SV Narasimhan, B Kanmani IET communications 8 (11), 1875-1882, 2014 | 14 | 2014 |
| A discrete cosine adaptive harmonic wavelet packet and its application to signal compression N Basumallick, SV Narasimhan Journal of Signal and Information Processing 1 (01), 63, 2010 | 12 | 2010 |
| Laguerre escalator lattice and feedforward/feedback active noise control S Veena, SV Narasimhan Signal processing 87 (4), 725-738, 2007 | 11 | 2007 |
| Power spectrum estimation of complex signals and its application to Wigner-Ville distribution: A group delay approach SV Narasimhan, EI Plotkin, MNS Swamy Sadhana 23, 57-71, 1998 | 10 | 1998 |
| Feedback active noise control based on forward–backward LMS predictor S Pavithra, SV Narasimhan Signal, Image and Video Processing 7, 1083-1091, 2013 | 9 | 2013 |
| Software simulation of the EEG SV Narasimhan, DN Dutt Journal of biomedical engineering 7 (4), 275-281, 1985 | 9 | 1985 |
| Power spectrum estimation of complex signals: group delay approach SV Narasimhan, EI Plotkin, MNS Swamy Electronics Letters 35 (25), 2182-2184, 1999 | 8 | 1999 |
