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Ranganadh Narayanam
Ranganadh Narayanam
ASSISTANT PROFESSOR, FST, ECE, IFHE - HYDERABAD
Verified email at ifheindia.org
Title
Cited by
Cited by
Year
performances of Texas instruments DSP and Xilinx FPGAs for Cooley-Tukey and Grigoryan FFT algorithms
N Ranganadh, P Patel, A Grigoryan
Journal of Engineering & Technology 1 (2), 83-83, 2011
122011
Efficient de-noising performance of a combined algorithm of translation invariant (TI) wavelets and independent component analysis over TI wavelets for speech-auditory …
R Narayanam
Procedia Computer Science 54, 829-837, 2015
72015
Implementation of FFT by using MATLAB:: SIMULINK on Xilinx Virtex-4 FPGAs:: Performance of a Paired Transform Based FFT
R Narayanam, AM Grigoryan, BD Tushara
International Journal of Advanced Computer Research 3 (2), 72, 2013
72013
An efficient Peak valley detection based VAD algorithm for Robust Detection of speech auditory brainstem responses
R Narayanam
Proceedings of AIRCC-international Conference on Computer Science and …, 2013
72013
Robust detection of speech auditory brainstem responses using Voice Activity Detection (VAD) algorithms
R Narayanam
IEEE CAMAN international conference–2012, 2012
62012
Case study of Grigoryan FFT onto FPGAs and DSPs
N Ranganadh, PA Patel, AM Grigoryan
International Journal of Future Computer and Communication 2 (6), 678, 2013
52013
Implementation of the DFT Using Radix-2 and Paired Transform Algorithms.
N Ranganadh, P Patel, AM Grigoryan
CAINE, 148-153, 2004
52004
Wavelet filter banks modeling of human auditory system for robust speech enhancement
R Narayanam, H Dajani, S Again
Interntional Journal of Scientific and Engineering Research 3 (4), 2012
42012
Brain-Activity-Filters: Efficient performance of Translation-Invariant (TI) Wavelets approach for Speech-Auditory Brainstem Responses of human subjects
R Narayanam
International Journal of Scientific and Research Publications 4 (9), 2014
32014
PERFORMANCE EVALUATIONS OF GRIORYAN FFT AND COOLEY-TUKEY FFT ONTO XILINX VIRTEX-II PRO AND VIRTEX-5 FPGAS
N Ranganadh, D Bindu Tushara
International Journal of Scientific and Research Publications 3 (1), 2250-3153, 2013
32013
Translation Invariance (TI) based Novel Approach for better De-noising of Digital Images
R Narayanam
International Research Journal of Engineering and Technology (IRJET) 4, 1-15, 2017
22017
A TMS DSP processor based case study of Grigoryan FFT performance over Cooley-Tukey FFT (TMS320C5416, TMS320C5515)
N Ranganadh, N rao Dhanavath
Asian Journal of Curernt Engineering and Maths 2 (1), 50-52, 2013
12013
Performance case study of Grigoryan FFT over Cooley-Tukey FFT using TMS DSP processors
N Ranganadh, MP Guravaiah
International Journal of Advanced Computer Research 2 (4), 452, 2012
12012
Signal-to-Noise Ratios Performances of Various Filtering approaches for Speech-Auditory Brainstem Responses of Human Subjects Yule-Walk multiband filter, Cascaded Yule-Walk …
R Narayanam
Medknow Publications, 2019
2019
Perceptual Wavelet packet transform based Wavelet Filter Banks Modeling of Human Auditory system for improving the intelligibility of voiced and unvoiced speech: A Case Study …
R Narayanam
International Journal on Computer Science and Engineering 7 (10), 108, 2015
2015
Implementation Of Grigoryan FFT For Its Performance Case Study Over Cooley-Tukey FFT Using Xilinx Virtex-II Pro, Virtex-5 And Virtex-4 FPGAs
N Ranganadh, MP Guravaiah, BD Tushara
The International Journal of Multimedia & Its Applications 5 (4), 85, 2013
2013
Wavelet Entropy Measure to Quantify Information Transmission in Human Cerebral Cortex
R Narayanam, Y Ono, H Dajani
Journal of Engineering & Technology 2 (2), 82-82, 2012
2012
Implementation and Performance Evaluation of the Fast Discrete Fourier Transform by Using Radix-2 and Paired Transform Algorithms
R Narayanam
University of Texas at San Antonio, 2004
2004
INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY DEVELOPING ‘STANDARD NOVEL ‘VAD’TECHNIQUE’AND ‘NOISE FREE SIGNALS’FOR SPEECH AUDITORY BRAINSTEM RESPONSES …
R Narayanam
Implementation of DAUBECHIES Discrete Wavelet Filter Banks Using Xilinx FPGAS
R Narayanam
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