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ORCIDMahesh Chandra
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2020 – today
- 2024
[j35]Arvind Kumar
, Biswajit Karan, Sandeep Singh Solanki, Mahesh Chandra, D. K. Singh:
Automatic tuning of radio stations based on listener's preference using Software Defined Radio and MATLAB. Eng. Appl. Artif. Intell. 137: 109117 (2024)- 2023
- [j34]Arvind Kumar, Sandeep Singh Solanki, Mahesh Chandra:
Effect of background Indian music on performance of speech recognition models for Hindi databases. Int. J. Speech Technol. 26(4): 1153-1164 (2023) - [j33]Arvind Kumar, Mahesh Chandra:
Empirical mode decomposition based statistical features for discrimination of speech and low frequency music signal. Multim. Tools Appl. 82(1): 33-58 (2023) - 2022
- [j32]Mahesh Chandra:
A Novel Method for Scalable VLSI Implementation of Hyperbolic Tangent Function. IEEE Des. Test 39(1): 85-91 (2022) - [j31]Mahesh Chandra:
On the Implementation of Fixed-Point Exponential Function for Machine Learning and Signal- Processing Accelerators. IEEE Des. Test 39(4): 64-70 (2022) - [j30]Arvind Kumar, Sandeep Singh Solanki, Mahesh Chandra:
Stacked auto-encoders based visual features for speech/music classification. Expert Syst. Appl. 208: 118041 (2022) - [c21]Yash Khare, Kumud Lakara, Maruthi Seshidhar Inukonda, Sparsh Mittal, Mahesh Chandra, Arvind Kaushik:
Design and Analysis of Novel Bit-flip Attacks and Defense Strategies for DNNs. DSC 2022: 1-8 - 2021
- [j29]Mahesh Chandra, Pankaj Goel, Ankita Anand, Asutosh Kar:
Design and analysis of improved high-speed adaptive filter architectures for ECG signal denoising. Biomed. Signal Process. Control. 63: 102221 (2021) - [j28]Gunjan Rajput, Gopal Raut, Mahesh Chandra, Santosh Kumar Vishvakarma:
VLSI implementation of transcendental function hyperbolic tangent for deep neural network accelerators. Microprocess. Microsystems 84: 104270 (2021) - [j27]Mahesh Chandra, Brejesh Lall:
A Novel Method for CNN Training Using Existing Color Datasets for Classifying Hand Postures in Bayer Images. SN Comput. Sci. 2(1): 60 (2021) - [i7]Mahesh Chandra:
On the Implementation of Fixed-point Exponential Function for Machine Learning and Signal Processing Accelerators. CoRR abs/2112.02263 (2021) - 2020
- [j26]Anirban Bhowmick, Astik Biswas, Mahesh Chandra:
Performance evaluation of psycho-acoustically motivated front-end compensator for TIMIT phone recognition. Pattern Anal. Appl. 23(2): 527-539 (2020) - [c20]Arvind Kumar, Kamlesh Kishore, Mahesh Chandra:
Performance evaluation of HHT based features for Speech/Music Discrimination under Noisy condition. ICCCS 2020: 1-5 - [c19]Arvind Kumar, Sandeep Singh Solanki, Mahesh Chandra:
Study of Indian instruments for designing a speech/music classifier. ICCCS 2020: 1-7 - [c18]Mahesh Chandra:
On the Impact of Partial Sums on Interconnect Bandwidth and Memory Accesses in a DNN Accelerator. ICIIS 2020: 511-515 - [c17]Nandan Kumar Jha, Shreyas Ravishankar, Sparsh Mittal, Arvind Kaushik, Dipan Mandal, Mahesh Chandra:
DRACO: Co-Optimizing Hardware Utilization, and Performance of DNNs on Systolic Accelerator. ISVLSI 2020: 574-579 - [i6]Nandan Kumar Jha, Shreyas Ravishankar, Sparsh Mittal, Arvind Kaushik, Dipan Mandal, Mahesh Chandra:
DRACO: Co-Optimizing Hardware Utilization, and Performance of DNNs on Systolic Accelerator. CoRR abs/2006.15103 (2020) - [i5]Mahesh Chandra:
Comparative Analysis of Polynomial and Rational Approximations of Hyperbolic Tangent Function for VLSI Implementation. CoRR abs/2007.11976 (2020) - [i4]Mahesh Chandra:
Hardware Implementation of Hyperbolic Tangent Function using Catmull-Rom Spline Interpolation. CoRR abs/2007.13516 (2020) - [i3]Mahesh Chandra:
A Novel Method for Scalable VLSI Implementation of Hyperbolic Tangent Function. CoRR abs/2008.02078 (2020) - [i2]Mahesh Chandra:
On the Impact of Partial Sums on Interconnect Bandwidth and Memory Accesses in a DNN Accelerator. CoRR abs/2011.00850 (2020)
2010 – 2019
- 2019
- [j25]Shipra Mishra, Mahesh Chandra:
Wavelet-Based Power Normalized Spectrum for Hindi Phoneme Classification. Circuits Syst. Signal Process. 38(11): 5149-5168 (2019) - [j24]Deepak Kumar Gupta, Vijay Kumar Gupta, Mahesh Chandra, Achyuta Nand Mishra:
New optimal variable step size-adaptive regularized-affine projection algorithm. Int. J. Speech Technol. 22(1): 179-189 (2019) - [j23]Deepak Kumar Gupta, Vijay Kumar Gupta, Mahesh Chandra, Bishwajeet Pandey:
Performance Analysis of MSFRLS-VFF Based Real-Time Adaptive Noise Canceller with RLS and APA Algorithms Using TMS320C6713 Processor. Wirel. Pers. Commun. 106(4): 2113-2127 (2019) - 2018
- [j22]Trideba Padhi, Mahesh Chandra, Asutosh Kar, M. N. S. Swamy:
A New Hybrid Active Noise Control System with Convex Combination of Time and Frequency Domain Filtered-X LMS Algorithms. Circuits Syst. Signal Process. 37(8): 3275-3294 (2018) - [j21]Hemanta Kumar Palo, Mihir Narayan Mohanty, Mahesh Chandra:
Speech Emotion Analysis of Different Age Groups Using Clustering Techniques. Int. J. Inf. Retr. Res. 8(1): 69-85 (2018) - [j20]Deepak Kumar Gupta, Vijay Kumar Gupta, Mahesh Chandra, Gaurav Verma:
Real-Time Implementation of Parallel Architecture Based Noise Minimization from Speech Signals on FPGA. Wirel. Pers. Commun. 103(3): 1941-1963 (2018) - 2017
- [j19]Anirban Bhowmick, Mahesh Chandra:
Speech enhancement using voiced speech probability based wavelet decomposition. Comput. Electr. Eng. 62: 706-718 (2017) - [j18]Hemanta Kumar Palo, Mahesh Chandra, Mihir Narayan Mohanty:
Emotion recognition using MLP and GMM for Oriya language. Int. J. Comput. Vis. Robotics 7(4): 426-442 (2017) - [j17]Anirban Bhowmick, Mahesh Chandra, Astik Biswas:
Speech enhancement using Teager energy operated ERB-like perceptual wavelet packet decomposition. Int. J. Speech Technol. 20(4): 813-827 (2017) - [j16]Sanjeev Kumar, Mahesh Chandra:
Detection of Microcalcification Using the Wavelet Based Adaptive Sigmoid Function and Neural Network. J. Inf. Process. Syst. 13(4): 703-715 (2017) - [c16]Hemanta Kumar Palo, Mihir Narayan Mohanty, Mahesh Chandra:
Emotion Analysis from Speech of Different Age Groups. RICE 2017: 283-287 - 2016
- [j15]Astik Biswas, Prakash Kumar Sahu, Mahesh Chandra:
Admissible wavelet packet sub-band based harmonic energy features using ANOVA fusion techniques for Hindi phoneme recognition. IET Signal Process. 10(8): 902-911 (2016) - [j14]Asutosh Kar, Mahesh Chandra:
Suppression of remnant nonlinear echo due to harmonic distortions in intelligent communication networks. Int. J. Inf. Commun. Technol. 9(2): 212-231 (2016) - [j13]Hemanta Kumar Palo, Mihir Narayan Mohanty, Mahesh Chandra:
Efficient feature combination techniques for emotional speech classification. Int. J. Speech Technol. 19(1): 135-150 (2016) - [j12]Astik Biswas, Prakash Kumar Sahu, Mahesh Chandra:
Multiple cameras audio visual speech recognition using active appearance model visual features in car environment. Int. J. Speech Technol. 19(1): 159-171 (2016) - [c15]Mahesh Chandra, Brejesh Lall:
Low power gesture recognition system using skin statistics for consumer applications. ICCE-TW 2016: 1-2 - 2015
- [j11]Astik Biswas, Prakash Kumar Sahu, Anirban Bhowmick, Mahesh Chandra:
Hindi phoneme classification using Wiener filtered wavelet packet decomposed periodic and aperiodic acoustic feature. Comput. Electr. Eng. 42: 12-22 (2015) - [j10]Astik Biswas, Prakash Kumar Sahu, Mahesh Chandra:
Multiple camera in car audio-visual speech recognition using phonetic and visemic information. Comput. Electr. Eng. 47: 35-50 (2015) - [j9]Astik Biswas, Prasanna Kumar Sahu, Anirban Bhowmick, Mahesh Chandra:
Admissible wavelet packet sub-band-based harmonic energy features for Hindi phoneme recognition. IET Signal Process. 9(6): 511-519 (2015) - [j8]Astik Biswas, Prakash Kumar Sahu, Mahesh Chandra:
Audio visual isolated Hindi digits recognition using HMM. Int. J. Comput. Vis. Robotics 5(3): 320-334 (2015) - [c14]Ashok Behuria, B. P. Mishra, Pankaj Goel, Asutosh Kar, Shibalik Mohapatra, Mahesh Chandra:
A novel variable step-size feedback Filtered-X LMS algorithm for acoustic noise removal. ICACCI 2015: 166-171 - [c13]Monali Dhal, Monalish Ghosh, Pankaj Goel, Asutosh Kar, Shibalik Mohapatra, Mahesh Chandra:
An unique adaptive noise canceller with advanced variable-step BLMS algorithm. ICACCI 2015: 178-183 - [c12]Astik Biswas, Prakash Kumar Sahu, Anirban Bhowmick, Mahesh Chandra:
VidTIMIT audio visual phoneme recognition using AAM visual features and human auditory motivated acoustic wavelet features. ReTIS 2015: 428-433 - 2014
- [j7]Astik Biswas, Prakash Kumar Sahu, Mahesh Chandra:
Admissible wavelet packet features based on human inner ear frequency response for Hindi consonant recognition. Comput. Electr. Eng. 40(4): 1111-1122 (2014) - [j6]Shyam Lal, Mahesh Chandra:
Efficient algorithm for contrast enhancement of natural images. Int. Arab J. Inf. Technol. 11(1): 95-102 (2014) - [j5]Asutosh Kar, Mahesh Chandra:
A novel variable tap-length learning algorithm for low complexity, fast converging stereophonic acoustic echo cancellation. Int. J. Inf. Commun. Technol. 6(3/4): 309-325 (2014) - [j4]Astik Biswas, Prakash Kumar Sahu, Anirban Bhowmick, Mahesh Chandra:
Feature extraction technique using ERB like wavelet sub-band periodic and aperiodic decomposition for TIMIT phoneme recognition. Int. J. Speech Technol. 17(4): 389-399 (2014) - [c11]Vineeta Das, Asutosh Kar, Mahesh Chandra:
Advanced Adaptive Algorithms for Double Talk Detection in Echo Cancellers: A Technical Review. FICTA (2) 2014: 297-305 - [c10]Birender Singh, Mahesh Chandra, Nikitha Kandru:
Removal of Defective Products Using Robots. FICTA (2) 2014: 375-382 - [c9]Deepak Kumar Gupta, Vijay Kumar Gupta, Mahesh Chandra:
Review Paper on Linear and Nonlinear Acoustic Echo Cancellation. FICTA (2) 2014: 465-473 - [c8]Mahesh Chandra, Pratibha Nandi, Aparajita kumari, Shipra Mishra:
Spectral-Subtraction Based Features for Speaker Identification. FICTA (2) 2014: 529-536 - [c7]Asutosh Kar, Pankaj Goel, Mahesh Chandra:
EFficient suppression of Remnant Non-Linear Echo caused due to harmonic distortions. ICACCI 2014: 880-884 - [c6]Anirban Bhowmick, Mahesh Chandra, Astik Biswas, Prakash Kumar Sahu:
Performance evaluation of front end speech enhancement techniques. ICACCI 2014: 885-889 - [c5]Trideba Padhi, Asutosh Kar, Mahesh Chandra:
Family of adaptive algorithms based on second order Volterra filters for nonlinear acoustic echo cancellation: A technical survey. ICACCI 2014: 909-914 - 2013
- [j3]Aloke Saha, Dipankar Pal, Mahesh Chandra:
Low-power 6-GHz wave-pipelined 8b x 8b multiplier. IET Circuits Devices Syst. 7(3) (2013) - [j2]Asutosh Kar, Mahesh Chandra:
A minimised complexity dynamic structure adaptive filter design for improved steady state performance analysis. Int. J. Comput. Vis. Robotics 3(4): 326-340 (2013) - [c4]Shyam Lal, Rahul Kumar, Mahesh Chandra:
An Improved Method for Contrast Enhancement of Real World Hyperspectral Images. QSHINE 2013: 273-282 - [c3]Asutosh Kar, Mahesh Chandra:
Reduced Complexity Pseudo-fractional Adaptive Algorithm with Variable Tap-Length Selection. QSHINE 2013: 451-460 - [c2]Pankai Gael, Mahesh Chandra, Prateek Saxena, Vijay Kumar Gupta:
Comparative analysis of speech enhancement methods. WOCN 2013: 1-5 - 2011
- [c1]Pawan Kumar, Nitika Jakhanwal, Anirban Bhowmick, Mahesh Chandra:
Gender classification using pitch and formants. ICCCS 2011: 319-324 - 2010
- [i1]Pawan Kumar, Astik Biswas, Achyuta Nand Mishra, Mahesh Chandra:
Spoken Language Identification Using Hybrid Feature Extraction Methods. CoRR abs/1003.5623 (2010)
1980 – 1989
- 1981
- [j1]Mahesh Chandra, Nozer D. Singpurwalla:
Relationships Between Some Notions Which are Common to Reliability Theory and Economics. Math. Oper. Res. 6(1): 113-121 (1981)
Coauthor Index
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last updated on 2024-09-10 01:17 CEST by the dblp team
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