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ORCIDUpamanyu Madhow
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- affiliation: University of California, Santa Barbara, USA
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2020 – today
- 2022
[j79]Metehan Cekic
, Can Bakiskan, Upamanyu Madhow:
Towards robust, interpretable neural networks via Hebbian/anti-Hebbian learning: A software framework for training with feature-based costs. Softw. Impacts 13: 100347 (2022)- [j78]Bhagyashree Puranik, Upamanyu Madhow, Ramtin Pedarsani:
Generalized Likelihood Ratio Test for Adversarially Robust Hypothesis Testing. IEEE Trans. Signal Process. 70: 4124-4139 (2022) - [j77]Ahmet Dundar Sezer, Upamanyu Madhow:
All-Digital LoS MIMO With Low-Precision Analog-to-Digital Conversion. IEEE Trans. Wirel. Commun. 21(7): 5600-5613 (2022) - [j76]Yue Dai, Maryam Eslami Rasekh, Seyed Hadi Mirfarshbafan, Harrison Liew, Alexandra Gallyas-Sanhueza, James Dunn, Upamanyu Madhow, Christoph Studer, Borivoje Nikolic:
An Adaptable and Scalable Generator of Distributed Massive MIMO Baseband Processing Systems. J. Signal Process. Syst. 94(10): 989-1003 (2022) - [j75]Maryam Eslami Rasekh, Navid Hosseinzadeh, Upamanyu Madhow, Mark J. W. Rodwell:
Low-Resolution Architectures for Power-Efficient Scaling of mmWave Phased Array Receivers. J. Signal Process. Syst. 94(10): 1005-1014 (2022) - [c151]Maryam Eslami Rasekh, Upamanyu Madhow:
On the design of low-resolution sensing matrices for noncoherent compressive channel estimation. IEEECONF 2022: 543-547 - [c150]Bhagyashree Puranik, Upamanyu Madhow, Ramtin Pedarsani:
A Dynamic Decision-Making Framework Promoting Long-Term Fairness. AIES 2022: 547-556 - [c149]Metehan Cekic, Ruirui Li, Zeya Chen, Yuguang Yang, Andreas Stolcke, Upamanyu Madhow:
Self-Supervised Speaker Recognition Training using Human-Machine Dialogues. ICASSP 2022: 6132-6136 - [c148]Metehan Cekic, Can Bakiskan, Upamanyu Madhow:
Neuro-Inspired Deep Neural Networks with Sparse, Strong Activations. ICIP 2022: 3843-3847 - [c147]Ahmet Dundar Sezer, Upamanyu Madhow:
Spatially redundant, precision-constrained transmit precoding for mmWave LoS MIMO. SPAWC 2022: 1-5 - [c146]Maryam Eslami Rasekh, Bhagyashree Puranik, Upamanyu Madhow, Mark J. W. Rodwell:
In-the-Field Calibration of All-Digital MIMO Arrays. WCNC 2022: 1389-1394 - [c145]Lalitha Giridhar, Maryam Eslami Rasekh, Ahmet Dundar Sezer, Upamanyu Madhow:
Adaptive Space-Time Equalization with Spatial Oversampling for Misaligned LoS MIMO. WCNC 2022: 1569-1574 - [i30]Metehan Cekic, Ruirui Li, Zeya Chen, Yuguang Yang, Andreas Stolcke, Upamanyu Madhow:
Self-supervised Speaker Recognition Training Using Human-Machine Dialogues. CoRR abs/2202.03484 (2022) - [i29]Metehan Cekic, Can Bakiskan, Upamanyu Madhow:
Neuro-Inspired Deep Neural Networks with Sparse, Strong Activations. CoRR abs/2202.13074 (2022) - 2021
- [j74]Anant Gupta, Ahmet Dundar Sezer, Upamanyu Madhow:
Multi-Sensor Spatial Association Using Joint Range-Doppler Features. IEEE Trans. Signal Process. 69: 5756-5769 (2021) - [j73]Mohammed Abdelghany, Ali A. Farid, Maryam Eslami Rasekh, Upamanyu Madhow, Mark J. W. Rodwell:
A Design Framework for All-Digital mmWave Massive MIMO With per-Antenna Nonlinearities. IEEE Trans. Wirel. Commun. 20(9): 5689-5701 (2021) - [j72]Maryam Eslami Rasekh, Mohammed Abdelghany, Upamanyu Madhow, Mark J. W. Rodwell:
Phase Noise in Modular Millimeter Wave Massive MIMO. IEEE Trans. Wirel. Commun. 20(10): 6522-6535 (2021) - [c144]Maryam Eslami Rasekh, Upamanyu Madhow:
Scaling Massive MIMO Radar via Compressive Signal Processing. ACSCC 2021: 226-230 - [c143]Ahmet Dundar Sezer, Upamanyu Madhow, Mark J. W. Rodwell:
Spatial Oversampling for Quantized LoS MIMO. ACSCC 2021: 405-409 - [c142]Metehan Cekic, Soorya Gopalakrishnan, Upamanyu Madhow:
Wireless Fingerprinting via Deep Learning: The Impact of Confounding Factors. ACSCC 2021: 677-684 - [c141]Bhagyashree Puranik, Upamanyu Madhow, Ramtin Pedarsani:
Adversarially Robust Classification Based on GLRT. ICASSP 2021: 3785-3789 - [c140]Can Bakiskan, Metehan Cekic, Ahmet Dundar Sezer, Upamanyu Madhow:
A Neuro-Inspired Autoencoding Defense Against Adversarial Attacks. ICIP 2021: 3922-3926 - [c139]Ali A. Farid, Mohammed Abdelghany, Upamanyu Madhow, Mark J. W. Rodwell:
Dynamic Range Requirements of Digital vs. RF and Tiled Beamforming in mm-Wave Massive MIMO. RWS 2021: 46-48 - [c138]Yue Dai, Harrison Liew, Maryam Eslami Rasekh, Seyed Hadi Mirfarshbafan, Alexandra Gallyas-Sanhueza, James Dunn, Upamanyu Madhow, Christoph Studer, Borivoje Nikolic:
A Scalable Generator for Massive MIMO Baseband Processing Systems with Beamspace Channel Estimation. SiPS 2021: 182-187 - [c137]Maryam Eslami Rasekh, Navid Hosseinzadeh, Upamanyu Madhow, Mark J. W. Rodwell:
An on-off receiver array for low-power scaling of mmWave massive MIMO. SiPS 2021: 188-193 - [i28]Can Bakiskan, Metehan Cekic, Ahmet Dundar Sezer, Upamanyu Madhow:
Sparse Coding Frontend for Robust Neural Networks. CoRR abs/2104.05353 (2021) - [i27]Bhagyashree Puranik, Upamanyu Madhow, Ramtin Pedarsani:
Generalized Likelihood Ratio Test for Adversarially Robust Hypothesis Testing. CoRR abs/2112.02209 (2021) - 2020
- [j71]Maryam Eslami Rasekh, Dongning Guo, Upamanyu Madhow:
Joint Routing and Resource Allocation for Millimeter Wave Picocellular Backhaul. IEEE Trans. Wirel. Commun. 19(2): 783-794 (2020) - [c136]Can Bakiskan, Soorya Gopalakrishnan, Metehan Cekic, Upamanyu Madhow, Ramtin Pedarsani:
Polarizing Front Ends for Robust Cnns. ICASSP 2020: 4257-4261 - [c135]Arda Simsek, Seong-Kyun Kim, Mohammed Abdelghany, Ahmed S. H. Ahmed, Ali A. Farid, Upamanyu Madhow, Mark J. W. Rodwell:
A 146.7 GHz Transceiver with 5 GBaud Data Transmission using a Low-Cost Series-Fed Patch Antenna Array through Wirebonding Integration. RWS 2020: 68-71 - [c134]Mohammed Abdelghany, Maryam Eslami Rasekh, Upamanyu Madhow:
Scalable Nonlinear Multiuser Detection for mmWave Massive MIMO. SPAWC 2020: 1-5 - [i26]Can Bakiskan, Soorya Gopalakrishnan, Metehan Cekic, Upamanyu Madhow, Ramtin Pedarsani:
Polarizing Front Ends for Robust CNNs. CoRR abs/2002.09580 (2020) - [i25]Metehan Cekic, Soorya Gopalakrishnan, Upamanyu Madhow:
Robust Wireless Fingerprinting: Generalizing Across Space and Time. CoRR abs/2002.10791 (2020) - [i24]Bhagyashree Puranik, Upamanyu Madhow, Ramtin Pedarsani:
Adversarially Robust Classification based on GLRT. CoRR abs/2011.07835 (2020) - [i23]Can Bakiskan, Metehan Cekic, Ahmet Dundar Sezer, Upamanyu Madhow:
A Neuro-Inspired Autoencoding Defense Against Adversarial Perturbations. CoRR abs/2011.10867 (2020)
2010 – 2019
- 2019
- [j70]Zhinus Marzi, Upamanyu Madhow:
Interference Management and Capacity Analysis for mm-Wave Picocells in Urban Canyons. IEEE J. Sel. Areas Commun. 37(12): 2715-2726 (2019) - [j69]Babak Mamandipoor, Mojtaba Fallahpour, Amin Arbabian, Upamanyu Madhow:
Millimeter wave imaging using sparse arrays. Signal Process. 164: 301-312 (2019) - [j68]Anant Gupta, Upamanyu Madhow, Amin Arbabian, Ali Sadri:
Design of Large Effective Apertures for Millimeter Wave Systems Using a Sparse Array of Subarrays. IEEE Trans. Signal Process. 67(24): 6483-6497 (2019) - [c133]Jarkko Kaleva, Nitin Jonathan Myers, Antti Tölli, Robert W. Heath Jr., Upamanyu Madhow:
Short Range 3D MIMO mmWave Channel Reconstruction via Geometry-aided AoA Estimation. ACSSC 2019: 427-431 - [c132]Ahmet Dundar Sezer, Upamanyu Madhow:
Near-Optimal Quantization for LoS MIMO with QPSK Modulation. ACSSC 2019: 1015-1020 - [c131]Mohammed Abdelghany, Upamanyu Madhow, Antti Tölli:
Efficient Beamspace Downlink Precoding for mmWave Massive MIMO. ACSSC 2019: 1459-1464 - [c130]Maryam Eslami Rasekh, Mohammed Abdelghany, Upamanyu Madhow, Mark J. W. Rodwell:
Phase noise analysis for mmwave massive MIMO: a design framework for scaling via tiled architectures. CISS 2019: 1-6 - [c129]Mohammed Abdelghany, Upamanyu Madhow, Mark J. W. Rodwell:
An Efficient Digital Backend for Wideband Single-Carrier mmWave Massive MIMO. GLOBECOM 2019: 1-6 - [c128]Soorya Gopalakrishnan, Metehan Cekic, Upamanyu Madhow:
Robust Wireless Fingerprinting via Complex-Valued Neural Networks. GLOBECOM 2019: 1-6 - [c127]Mohammed Abdelghany, Upamanyu Madhow, Antti Tölli:
Beamspace Local LMMSE: An Efficient Digital Backend for mmWave Massive MIMO. SPAWC 2019: 1-5 - [i22]Soorya Gopalakrishnan, Metehan Cekic, Upamanyu Madhow:
Robust Wireless Fingerprinting via Complex-Valued Neural Networks. CoRR abs/1905.09388 (2019) - [i21]Mohammed Abdelghany, Ali A. Farid, Upamanyu Madhow, Mark J. W. Rodwell:
A design framework for all-digital mmWave massive MIMO with per-antenna nonlinearities. CoRR abs/1912.11643 (2019) - 2018
- [j67]Sairam Goguri, Dennis Ogbe, Soura Dasgupta, Raghuraman Mudumbai, D. Richard Brown, David J. Love, Upamanyu Madhow:
Optimal Precoder Design for Distributed Transmit Beamforming Over Frequency-Selective Channels. IEEE Trans. Wirel. Commun. 17(11): 7759-7773 (2018) - [c126]Maryam Eslami Rasekh, Upamanyu Madhow:
Noncoherent compressive channel estimation for mm-wave massive MIMO. ACSSC 2018: 889-894 - [c125]Mohammed Abdelghany, Ali A. Farid, Upamanyu Madhow, Mark J. W. Rodwell:
Towards All-digital mmWave Massive MIMO: Designing around Nonlinearities. ACSSC 2018: 1552-1557 - [c124]Soorya Gopalakrishnan, Zhinus Marzi, Upamanyu Madhow, Ramtin Pedarsani:
Combating Adversarial Attacks Using Sparse Representations. ICLR (Workshop) 2018 - [c123]Zhinus Marzi, Soorya Gopalakrishnan, Upamanyu Madhow, Ramtin Pedarsani:
Sparsity-based Defense Against Adversarial Attacks on Linear Classifiers. ISIT 2018: 31-35 - [c122]Zhinus Marzi, João Pedro Hespanha, Upamanyu Madhow:
On the Information in Spike Timing: Neural Codes Derived from Polychronous Groups. ITA 2018: 1-7 - [c121]Muhammed Faruk Gencel, Upamanyu Madhow, João Pedro Hespanha:
RF Source Seeking Using Frequency Measurements. SPAWC 2018: 1-5 - [c120]P. Raviteja, Upamanyu Madhow:
Spatially Oversampled Demultiplexing in mmWave LoS MIMO. SPAWC 2018: 1-5 - [i20]Zhinus Marzi, Soorya Gopalakrishnan, Upamanyu Madhow, Ramtin Pedarsani:
Sparsity-based Defense against Adversarial Attacks on Linear Classifiers. CoRR abs/1801.04695 (2018) - [i19]Muhammed Faruk Gencel, Maryam Eslami Rasekh, Upamanyu Madhow:
Distributed Base Station: A Concept System for Long-Range Broadband Wireless Access. CoRR abs/1803.02877 (2018) - [i18]Zhinus Marzi, João P. Hespanha, Upamanyu Madhow:
On the information in spike timing: neural codes derived from polychronous groups. CoRR abs/1803.03692 (2018) - [i17]Soorya Gopalakrishnan, Zhinus Marzi, Upamanyu Madhow, Ramtin Pedarsani:
Combating Adversarial Attacks Using Sparse Representations. CoRR abs/1803.03880 (2018) - [i16]Soorya Gopalakrishnan, Zhinus Marzi, Upamanyu Madhow, Ramtin Pedarsani:
Toward Robust Neural Networks via Sparsification. CoRR abs/1810.10625 (2018) - 2017
- [j66]Aseem Wadhwa, Upamanyu Madhow, Naresh R. Shanbhag:
Slicer Architectures for Analog-to-Information Conversion in Channel Equalizers. IEEE Trans. Commun. 65(3): 1234-1246 (2017) - [j65]Amy Kumar, Raghuraman Mudumbai, Soura Dasgupta, Upamanyu Madhow, D. Richard Brown:
Distributed MIMO Multicast With Protected Receivers: A Scalable Algorithm for Joint Beamforming and Nullforming. IEEE Trans. Wirel. Commun. 16(1): 512-525 (2017) - [c119]Anant Gupta, Upamanyu Madhow, Amin Arbabian, Ali Sadri:
On beam design for sparse arrays of subarrays using multi-objective optimization and estimation-theoretic criteria. ACSSC 2017: 1105-1109 - [c118]Soorya Gopalakrishnan, Tiffany Moy, Upamanyu Madhow, Naveen Verma:
Compressive information acquisition with hardware impairments and constraints: A case study. ICASSP 2017: 6075-6079 - [c117]Maryam Eslami Rasekh, Zhinus Marzi, Yanzi Zhu, Upamanyu Madhow, Haitao Zheng:
Noncoherent mmWave Path Tracking. HotMobile 2017: 13-18 - [i15]Babak Mamandipoor, Amin Arbabian, Upamanyu Madhow:
Geometry-constrained Degrees of Freedom Analysis for Imaging Systems: Monostatic and Multistatic. CoRR abs/1711.03585 (2017) - 2016
- [j64]Hossein Roufarshbaf, Upamanyu Madhow, Mark J. W. Rodwell, Sridhar Rajagopal:
Analog Multiband: Efficient Bandwidth Scaling for mm-Wave Communication. IEEE J. Sel. Top. Signal Process. 10(3): 470-484 (2016) - [j63]Zhinus Marzi, Dinesh Ramasamy, Upamanyu Madhow:
Compressive Channel Estimation and Tracking for Large Arrays in mm-Wave Picocells. IEEE J. Sel. Top. Signal Process. 10(3): 514-527 (2016) - [j62]Aseem Wadhwa, Upamanyu Madhow:
Near-Coherent QPSK Performance With Coarse Phase Quantization: A Feedback-Based Architecture for Joint Phase/Frequency Synchronization and Demodulation. IEEE Trans. Signal Process. 64(17): 4432-4443 (2016) - [j61]Babak Mamandipoor, Dinesh Ramasamy, Upamanyu Madhow:
Newtonized Orthogonal Matching Pursuit: Frequency Estimation Over the Continuum. IEEE Trans. Signal Process. 64(19): 5066-5081 (2016) - [j60]François Quitin, Andrew T. Irish, Upamanyu Madhow:
A Scalable Architecture for Distributed Receive Beamforming: Analysis and Experimental Demonstration. IEEE Trans. Wirel. Commun. 15(3): 2039-2053 (2016) - [c116]Anant Gupta, Upamanyu Madhow, Amin Arbabian:
Super-resolution in position and velocity estimation for short-range MM-wave radar. ACSSC 2016: 1144-1148 - [c115]Mahmoud Sawaby, Babak Mamandipoor, Upamanyu Madhow, Amin Arbabian:
Analog processing to enable scalable high-throughput mm-Wave wireless fiber systems. ACSSC 2016: 1658-1662 - [c114]Sairam Goguri, Raghuraman Mudumbai, D. Richard Brown III, Soura Dasgupta, Upamanyu Madhow:
Capacity maximization for distributed broadband beamforming. ICASSP 2016: 3441-3445 - [c113]Babak Mamandipoor, Amin Arbabian, Upamanyu Madhow:
New models and super-resolution techniques for short-range radar: Theory and experiments. ITA 2016: 1-7 - [i14]Aseem Wadhwa, Upamanyu Madhow:
Learning Sparse, Distributed Representations using the Hebbian Principle. CoRR abs/1611.04228 (2016) - 2015
- [j59]Amy Kumar, Raghuraman Mudumbai, Soura Dasgupta, Muhammad Mahboob Ur Rahman, D. Richard Brown III, Upamanyu Madhow, T. Patrick Bidigare:
A Scalable Feedback Mechanism for Distributed Nullforming With Phase-Only Adaptation. IEEE Trans. Signal Inf. Process. over Networks 1(1): 58-70 (2015) - [c112]T. Patrick Bidigare, Upamanyu Madhow, D. Richard Brown III, Raghuraman Mudumbai, A. Kumar, Benjamin Peiffer, Soura Dasgupta:
Wideband distributed transmit beamforming using channel reciprocity and relative calibration. ACSSC 2015: 271-275 - [c111]Muhammed Faruk Gencel, Maryam Eslami Rasekh, Upamanyu Madhow:
Noise-resilient scaling for wideband distributed beamforming. ACSSC 2015: 276-280 - [c110]Babak Mamandipoor, Mahmoud Sawaby, Amin Arbabian, Upamanyu Madhow:
Hardware-constrained signal processing for mm-Wave LoS MIMO. ACSSC 2015: 1427-1431 - [c109]Babak Mamandipoor, Dinesh Ramasamy, Upamanyu Madhow:
Frequency estimation for a mixture of sinusoids: A near-optimal sequential approach. GlobalSIP 2015: 205-209 - [c108]Zhinus Marzi, Upamanyu Madhow, Haitao Zheng:
Interference Analysis for mm-Wave Picocells. GLOBECOM 2015: 1-6 - [c107]Hossein Roufarshbaf, Upamanyu Madhow, Mark J. W. Rodwell, Sridhar Rajagopal:
Efficient analog multiband channelization for bandwidth scaling in mm-wave systems. ICC 2015: 1316-1321 - [c106]Muhammed Faruk Gencel, Maryam Eslami Rasekh, Upamanyu Madhow:
Scaling wideband distributed transmit beamforming via aggregate feedback. ICC 2015: 2356-2362 - [c105]Muhammed Faruk Gencel, Maryam Eslami Rasekh, Upamanyu Madhow:
Distributed transmit beamforming with one bit feedback revisited: How noise limits scaling. ISIT 2015: 2041-2045 - [c104]Dinesh Ramasamy, Upamanyu Madhow:
Compressive spectral embedding: sidestepping the SVD. NIPS 2015: 550-558 - [i13]François Quitin, Andrew T. Irish, Upamanyu Madhow:
A scalable architecture for distributed receive beamforming: analysis and experimental demonstration. CoRR abs/1501.05695 (2015) - [i12]Zhinus Marzi, Dinesh Ramasamy, Upamanyu Madhow:
Compressive channel estimation and tracking for large arrays in mm wave picocells. CoRR abs/1506.05367 (2015) - [i11]Babak Mamandipoor, Dinesh Ramasamy, Upamanyu Madhow:
Newtonized Orthogonal Matching Pursuit: Frequency Estimation over the Continuum. CoRR abs/1509.01942 (2015) - [i10]Dinesh Ramasamy, Upamanyu Madhow:
Compressive spectral embedding: sidestepping the SVD. CoRR abs/1509.08360 (2015) - 2014
- [j58]Dinesh Ramasamy, Sriram Venkateswaran, Upamanyu Madhow:
Compressive Parameter Estimation in AWGN. IEEE Trans. Signal Process. 62(8): 2012-2027 (2014) - [j57]D. Richard Brown III, Upamanyu Madhow, Min Ni, Matthew Rebholz, Patrick Bidigare:
Distributed Reception with Hard Decision Exchanges. IEEE Trans. Wirel. Commun. 13(6): 3406-3418 (2014) - [c103]Maryam Eslami Rasekh, Upamanyu Madhow, Raghuraman Mudumbai:
Frequency tracking with intermittent wrapped phase measurement using the Rao-Blackwellized particle filter. ACSSC 2014: 247-251 - [c102]Babak Mamandipoor, Greg Malysa, Amin Arbabian, Upamanyu Madhow, Karam Noujeim:
60 GHz synthetic aperture radar for short-range imaging: Theory and experiments. ACSSC 2014: 553-558 - [c101]Emre Akbas, Aseem Wadhwa, Miguel P. Eckstein, Upamanyu Madhow:
A framework for machine vision based on neuro-mimetic front end processing and clustering. Allerton 2014: 311-318 - [c100]Jason T. Isaacs, Ceridwen Magee, Anantharaman Subbaraman, François Quitin, Kingsley Fregene, Andrew R. Teel, Upamanyu Madhow, João Pedro Hespanha:
GPS-optimal micro air vehicle navigation in degraded environments. ACC 2014: 1864-1871 - [c99]Hossein Roufarshbaf, Upamanyu Madhow, Sridhar Rajagopal:
OFDM-based analog multiband: A scalable design for indoor mm-wave wireless communication. GLOBECOM 2014: 3267-3272 - [c98]Andrew T. Irish, Jason T. Isaacs, François Quitin, João Pedro Hespanha, Upamanyu Madhow:
Probabilistic 3D mapping based on GNSS SNR measurements. ICASSP 2014: 2390-2394 - [c97]Aseem Wadhwa, Upamanyu Madhow, Naresh R. Shanbhag:
Space-time slicer architectures for analog-to-information conversion in channel equalizers. ICC 2014: 2124-2129 - [c96]Andrew T. Irish, Jason T. Isaacs, François Quitin, João Pedro Hespanha, Upamanyu Madhow:
Belief propagation based localization and mapping using sparsely sampled GNSS SNR measurements. ICRA 2014: 1977-1982 - [c95]Upamanyu Madhow, Donald Richard Brown, Soura Dasgupta, Raghuraman Mudumbai:
Distributed massive MIMO: Algorithms, architectures and concept systems. ITA 2014: 1-7 - [c94]Andrew T. Irish, Daniel Iland, Jason T. Isaacs, João Pedro Hespanha, Elizabeth M. Belding, Upamanyu Madhow:
Using crowdsourced satellite SNR measurements for 3D mapping and real-time GNSS positioning improvement. S3@MobiCom 2014: 5-8 - [c93]Yibo Zhu, Zengbin Zhang, Zhinus Marzi, Chris Nelson, Upamanyu Madhow, Ben Y. Zhao, Haitao Zheng:
Demystifying 60GHz outdoor picocells. MobiCom 2014: 5-16 - [c92]Andrew Irish, Jason T. Isaacs, Daniel Iland, João P. Hespanha, Elizabeth M. Belding, Upamanyu Madhow:
Demo: ShadowMaps, the urban phone tracking system. MobiCom 2014: 283-286 - [i9]Dinesh Ramasamy, Upamanyu Madhow:
Scalable and Efficient Geographic Routing in Mobile Ad Hoc Wireless Networks. CoRR abs/1407.4056 (2014) - 2013
- [j56]Jaspreet Singh, Upamanyu Madhow:
Phase-Quantized Block Noncoherent Communication. IEEE Trans. Commun. 61(7): 2828-2839 (2013) - [j55]Junil Choi, Zachary Chance, David J. Love, Upamanyu Madhow:
Noncoherent Trellis Coded Quantization: A Practical Limited Feedback Technique for Massive MIMO Systems. IEEE Trans. Commun. 61(12): 5016-5029 (2013) - [j54]Daniel J. Klein, Sriram Venkateswaran, Jason T. Isaacs, Jerry Burman, Tien Pham, João Pedro Hespanha, Upamanyu Madhow:
Localization with sparse acoustic sensor network using UAVs as information-seeking data mules. ACM Trans. Sens. Networks 9(3): 30:1-30:29 (2013) - [j53]François Quitin, Muhammad Mahboob Ur Rahman, Raghuraman Mudumbai, Upamanyu Madhow:
A Scalable Architecture for Distributed Transmit Beamforming with Commodity Radios: Design and Proof of Concept. IEEE Trans. Wirel. Commun. 12(3): 1418-1428 (2013) - [c91]Patrick Bidigare, Donald Richard Brown, Shawn Kraut, Upamanyu Madhow:
MIMO channel prediction results on outdoor collected data. ACSSC 2013: 592-596 - [c90]Rui Wang, D. Richard Brown III, Min Ni, Upamanyu Madhow, Patrick Bidigare:
Outage probability analysis of distributed reception with hard decision exchanges. ACSSC 2013: 597-601 - [c89]Andrew Irish, François Quitin, Upamanyu Madhow, Mark J. W. Rodwell:
Achieving multiple degrees of freedom in long-range mm-wave MIMO channels using randomly distributed relays. ACSSC 2013: 722-727 - [c88]Aseem Wadhwa, Upamanyu Madhow:
Blind phase/frequency synchronization with low-precision ADC: A Bayesian approach. Allerton 2013: 181-188 - [c87]Sriram Venkateswaran, Jason T. Isaacs, Kingsley Fregene, Richard Ratmansky, Brian M. Sadler, João Pedro Hespanha, Upamanyu Madhow:
RF source-seeking by a micro aerial vehicle using rotation-based angle of arrival estimates. ACC 2013: 2581-2587 - [c86]Junil Choi, David J. Love, Upamanyu Madhow:
Limited feedback in massive MIMO systems: Exploiting channel correlations via noncoherent trellis-coded quantization. CISS 2013: 1-6 - [c85]Dinesh Ramasamy, Sriram Venkateswaran, Upamanyu Madhow:
Inferring user interests from tweet times. COSN 2013: 235-240 - [c84]