Animesh Kumar

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 33

Top Topics

Exponential Decay

Signal Reconstruction

Likelihood Ratio Test

Top Venues

IEEE Trans. Signal Process.

Publications

Feng Yao, Yufan Zhuang, Zihao Sun, Sunan Xu, Animesh Kumar, Jingbo Shang
Data Contamination Can Cross Language Barriers. CoRR (2024)
Xiaochen Gao, Feng Yao, Kewen Zhao, Beilei He, Animesh Kumar, Vish Krishnan, Jingbo Shang
Beyond Scaling: Predicting Patent Approval with Domain-specific Fine-grained Claim Dependency Graph. CoRR (2024)
Xiaochen Gao, Feng Yao, Kewen Zhao, Beilei He, Animesh Kumar, Vish Krishnan, Jingbo Shang
Beyond Scaling: Predicting Patent Approval with Domain-specific Fine-grained Claim Dependency Graph. ACL (1) (2024)
Shikha Gupta, Animesh Kumar
Sentiment-aware Enhancements of PageRank-based Citation Metric, Impact Factor, and H-index for Ranking the Authors of Scholarly Articles. CoRR (2024)
S. Ram Aditya, Shyamal Dhua, Animesh Kumar, Vimal Bastin Edwin Joseph, R. Rajavelsamy
Deep Reinforcement Learning Based Bandwidth Part Assignment in 5G NR-U. CCNC (2024)
Animesh Kumar, Sandip Dutta, Prashant Pranav
Analysis of SQL injection attacks in the cloud and in WEB applications. Secur. Priv. 7 (3) (2024)
Mohak Goyal, Animesh Kumar
Signal Reconstruction from Quantized Noisy Samples of the Discrete Fourier Transform. CoRR (2022)
Mohak Goyal, Animesh Kumar
Signal Reconstruction From Quantized Noisy Samples of the Discrete Fourier Transform. IEEE Trans. Signal Process. 70 (2022)
Vijay Anavangot, Animesh Kumar
Signal Source Distribution Approximation to Speedup Scalar Quantizer Design. IEEE Trans. Signal Process. 69 (2021)
Dimple Kochar, Animesh Kumar
Estimation of Time to Failure Distribution in SRAM Due to Trapped Oxide Charges. ISCAS (2021)
Animesh Kumar, Pramod Pathak, Paul Stynes
A Transfer Learning Approach to Classify the Brain Age from MRI Images. BDA (2020)
Vijay Anavangot, Animesh Kumar
Algorithms for Overpredictive Signal Analytics in Federated Learning. EUSIPCO (2020)
Meera Pai, Animesh Kumar
Distribution Learning of a Random Spatial Field with a Location-Unaware Mobile Sensor. NeurIPS (2019)
Shruti Sawant, Indrani Mukherjee, Siddharth G. Tallur, Animesh Kumar
Feasibility assessment of location-unaware sensing for estimation of non-bandlimited measurements. IEEE SENSORS (2019)
Vijay Anavangot, Animesh Kumar
A Novel Approximate Lloyd-max Quantizer and Its Analysis. ICASSP (2019)
Vijay Anavangot, Animesh Kumar
On Distributed Nonlinear Signal Analytics : Bandwidth and Approximation Error Tradeoffs. CoRR (2018)
Mohak Goyal, Animesh Kumar
Estimation of Bandlimited Signals on Graphs From Single Bit Recordings of Noisy Samples. EUSIPCO (2018)
Vijay Anavangot, Animesh Kumar
Novel Near-Optimal Scalar Quantizers with Exponential Decay Rate and Global Convergence. CoRR (2018)
Sudeep Salgia, Animesh Kumar
Bandlimited Spatiotemporal Field Sampling with Location and Time Unaware Mobile Sensors. ICASSP (2018)
Animesh Kumar
On Bandlimited Field Estimation from Samples Recorded by a Location-Unaware Mobile Sensor. IEEE Trans. Inf. Theory 63 (4) (2017)
Sudeep Salgia, Animesh Kumar
On Bandlimited Spatiotemporal Field Sampling with Location and Time Unaware Mobile Sensors. CoRR (2017)
Animesh Kumar
Optimal Envelope Approximation in Fourier Basis with Applications in TV White Space. CoRR (2017)
Charvi Rastogi, Animesh Kumar
Mobile Sensing of Two-Dimensional Bandlimited Fields on Random Paths. CoRR (2017)
Sudeep Salgia, Animesh Kumar
Spatial Field estimation from Samples taken at Unknown Locations generated by an Unknown Autoregressive Process. CoRR (2017)
Garima Maheshwari, Animesh Kumar
Optimal quantization of TV white space regions for a broadcast based geolocation database. EUSIPCO (2016)
Animesh Kumar, Abhay Karandikar, Gaurang Naik, Meghna Khaturia, Shubham Saha, Mahak Arora, Jaspreet Singh
Toward enabling broadband for a billion plus population with TV white spaces. IEEE Commun. Mag. 54 (7) (2016)
Ankur Mallick, Animesh Kumar
Bandlimited field reconstruction from samples obtained on a discrete grid with unknown random locations. ICASSP (2016)
Animesh Kumar
Bandlimited field estimation from samples recorded by a location-unaware mobile sensor. ISIT (2016)
Ajinkya Jayawant, Animesh Kumar
High rate quantization analysis for a class of finite rate of innovation signals. EUSIPCO (2016)
Arti D. Yardi, Saravanan Vijayakumaran, Animesh Kumar
Blind Reconstruction of Binary Cyclic Codes From Unsynchronized Bitstream. IEEE Trans. Commun. 64 (7) (2016)
Abhinav Kumar, Animesh Kumar
Estimation of Bandlimited Grayscale Images From the Single Bit Observations of Pixels Affected by Additive Gaussian Noise. CoRR (2016)
Animesh Kumar, Abhay Karandikar, Gaurang Naik, Meghna Khaturia, Shubham Saha, Mahak Arora, Jaspreet Singh
Towards Enabling Broadband for a Billon Plus Population with TV White Spaces. CoRR (2016)
Ankur Mallick, Animesh Kumar
Bandlimited Field Reconstruction from Samples Obtained at Unknown Random Locations on a Grid. CoRR (2016)
Karthik Sharma, Animesh Kumar
Sampling smooth spatio-temporal physical fields: When will the aliasing error increase with time? ICASSP (2015)
Garima Maheshwari, Animesh Kumar
Optimal Quantization of TV White Space Regions for a Broadcast Based Geolocation Database. CoRR (2015)
Animesh Kumar
Bandlimited Spatial Field Sampling with Mobile Sensors in the Absence of Location Information. CoRR (2015)
Soumik Ghosh, Gaurang Naik, Animesh Kumar, Abhay Karandikar
OpenPAWS: An open source PAWS and UHF TV White Space database implementation for India. NCC (2015)
Prateek R. Kapadia, Om P. Damani, Animesh Kumar
Interference-constrained coverage algorithms in the protocol and SINR models. Wirel. Networks 21 (4) (2015)
Animesh Kumar
On Bandlimited Signal Reconstruction From the Distribution of Unknown Sampling Locations. IEEE Trans. Signal Process. 63 (5) (2015)
Animesh Kumar, Rajeev Kumar, Punit Rathod, Abhay Karandikar
How much TV UHF band spectrum is sufficient for rural broadband coverage? WiOpt (2015)
Arti D. Yardi, Animesh Kumar, Saravanan Vijayakumaran
Channel-code detection by a third-party receiver via the likelihood ratio test. ISIT (2014)
Gaurang Naik, Sudesh Singhal, Animesh Kumar, Abhay Karandikar
Quantitative assessment of TV white space in India. NCC (2014)
Gaurang Naik, Sudesh Singhal, Animesh Kumar, Abhay Karandikar
Quantitative Assessment of TV White Space in India. CoRR (2013)
Animesh Kumar
Bandlimited Signal Reconstruction From the Distribution of Unknown Sampling Locations CoRR (2013)
Animesh Kumar, Vinod M. Prabhakaran
Estimation of bandlimited signals from the signs of noisy samples. ICASSP (2013)
Animesh Kumar, Vinod M. Prabhakaran
Estimation of Bandlimited Signals in Additive Gaussian Noise: a "Precision Indifference" Principle CoRR (2012)
B. Santhana Krishnan, Animesh Kumar, D. Manjunath, Bikash Kumar Dey
On the Separability of Targets Using Binary Proximity Sensors CoRR (2012)
Amrut Kolhapure, Animesh Kumar
SRAM in hold-operation: Modeling the interaction of soft-errors and switching power-supply noise. ISCAS (2012)
Animesh Kumar, Prakash Ishwar, Kannan Ramchandran
High-Resolution Distributed Sampling of Bandlimited Fields With Low-Precision Sensors. IEEE Trans. Inf. Theory 57 (1) (2011)
Animesh Kumar, Prakash Ishwar, Kannan Ramchandran
Dithered A/D conversion of smooth non-bandlimited signals. IEEE Trans. Signal Process. 58 (5) (2010)
Animesh Kumar, Jan M. Rabaey, Kannan Ramchandran
SRAM supply voltage scaling: A reliability perspective. ISQED (2009)
Huifang Qin, Animesh Kumar, Kannan Ramchandran, Jan M. Rabaey, Prakash Ishwar
Error-Tolerant SRAM Design for Ultra-Low Power Standby Operation. ISQED (2008)
Animesh Kumar, Huifang Qin, Prakash Ishwar, Jan M. Rabaey, Kannan Ramchandran
Fundamental Data Retention Limits in SRAM Standby Experimental Results. ISQED (2008)
Animesh Kumar, Huifang Qin, Prakash Ishwar, Jan M. Rabaey, Kannan Ramchandran
Fundamental Redundancy Versus Power Trade-Off in Standby SRAM. ICASSP (2) (2007)
Animesh Kumar, Huifang Qin, Prakash Ishwar, Jan M. Rabaey, Kannan Ramchandran
Fundamental Bounds on Power Reduction during Data-Retention in Standby SRAM. ISCAS (2007)
Animesh Kumar, Prakash Ishwar, Kannan Ramchandran
On distributed sampling of smooth non-bandlimited fields. IPSN (2004)
Animesh Kumar, Prakash Ishwar, Kannan Ramchandran
On distributed sampling of bandlimited and non-bandlimited sensor fields. ICASSP (3) (2004)
Prakash Ishwar, Animesh Kumar, Kannan Ramchandran
Distributed Sampling for Dense Sensor Networks: A "Bit-Conservation Principle". IPSN (2003)