Krishnamoorthy Sivakumar

Affiliations: 
Washington State University, Pullman, WA, United States 
Area:
Computer Science, Statistics
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"Krishnamoorthy Sivakumar"

Children

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Jianjie Ma grad student 2006 WSU
Yiming Chen grad student 2011 WSU
Chuan Zhao grad student 2011 WSU
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Shen J, Aboutaleb A, Sivakumar K, et al. (2020) Deep Neural Network a Posteriori Probability Detector for Two-Dimensional Magnetic Recording Ieee Transactions On Magnetics. 56: 1-12
Sayyafan A, Belzer BJ, Sivakumar K, et al. (2019) Deep Neural Network Based Media Noise Predictors for Use in High-Density Magnetic Recording Turbo-Detectors Ieee Transactions On Magnetics. 55: 2939863
Sun X, Shen J, Belzer BJ, et al. (2019) ISI/ITI Turbo Equalizer for TDMR Using Trained Local Area Influence Probabilistic Model Ieee Transactions On Magnetics. 55: 1-15
Chan KS, James A, Shafiee S, et al. (2018) User Areal Density Optimization for Conventional and 2-D Detectors/Decoders Ieee Transactions On Magnetics. 54: 1-12
Mehrnoush M, Sivakumar K, Belzer BJ, et al. (2017) Signal Processing and Coding System for TDMR Data from Grain Flipping Probability Model Ieee Transactions On Magnetics. 53: 1-9
Mehrnoush M, Belzer BJ, Sivakumar K, et al. (2017) EXIT Chart-Based IRA Code Design for TDMR Turbo-Equalization System Ieee Transactions On Communications. 65: 1762-1774
Sun X, Belzer BJ, Sivakumar K. (2016) Dynamic Grain State Estimation for High-Density TDMR: Progress and Future Directions Ieee Transactions On Magnetics. 52
Mehrnoush M, Belzer BJ, Sivakumar K, et al. (2016) Turbo Equalization for Two Dimensional Magnetic Recording Using Voronoi Model Averaged Statistics Ieee Journal On Selected Areas in Communications. 34: 2439-2449
Carosino M, Yu J, Chen Y, et al. (2015) Iterative Detection and Decoding for TDMR with 2-D Intersymbol Interference Using the Four-Rectangular-Grain Model Ieee Transactions On Magnetics. 51
Chen Y, Njeim P, Cheng T, et al. (2010) Iterative soft decision feedback zig-zag equalizer for 2d intersymbol interference channels Ieee Journal On Selected Areas in Communications. 28: 167-180
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