Please note: This is a beta version of the new dblp website.
You can find the classic dblp view of this page here.
You can find the classic dblp view of this page here.
Jonathan H. Manton
2010 – today
- 2013
[j31]Salem Said, Jonathan H. Manton: On Filtering with Observation in a Manifold: Reduction to a Classical Filtering Problem. SIAM J. Control and Optimization 51(1): 767-783 (2013)
[j30]Salem Said, Pierre-Olivier Amblard, Jonathan H. Manton: Stationary Random Fields Arising From Second-Order Partial Differential Equations on Compact Lie Groups. IEEE Transactions on Information Theory 59(6): 3497-3513 (2013)
[j29]Juan Lu, Ed Kazmierczak, Jonathan H. Manton, Rodney Sinclair: Automatic Segmentation of Scaling in 2-D Psoriasis Skin Images. IEEE Trans. Med. Imaging 32(4): 719-730 (2013)- 2012
[j28]Salem Said, Jonathan H. Manton: Extrinsic Mean of Brownian Distributions on Compact Lie Groups. IEEE Transactions on Information Theory 58(6): 3521-3535 (2012)
[c17]Juan Lu, Ed Kazmierczak, Jonathan H. Manton, Rodney Sinclair: Automatic Scoring of Erythema and Scaling Severity in Psoriasis Diagnosis. Australasian Conference on Artificial Intelligence 2012: 73-84
[c16]Levin Kuhlmann, Michael Hauser-Raspe, Jonathan H. Manton, David B. Grayden, Jonathan Tapson, André van Schaik: Online learning in Bayesian Spiking Neurons. IJCNN 2012: 1-6- 2011
[j27]Mark D. McDonnell, Shiro Ikeda, Jonathan H. Manton: An introductory review of information theory in the context of computational neuroscience. Biological Cybernetics 105(1): 55-70 (2011)
[j26]Lin Li, Anna Scaglione, Jonathan H. Manton: Distributed Principal Subspace Estimation in Wireless Sensor Networks. J. Sel. Topics Signal Processing 5(4): 725-738 (2011)
[i2]Mark D. McDonnell, Shiro Ikeda, Jonathan H. Manton: An Introductory Review of Information Theory in the Context of Computational Neuroscience. CoRR abs/1107.2984 (2011)- 2010
[j25]Minyi Huang, Subhrakanti Dey, Girish N. Nair, Jonathan H. Manton: Stochastic consensus over noisy networks with Markovian and arbitrary switches. Automatica 46(10): 1571-1583 (2010)
[j24]Xueyuan Su, Sammy Chan, Jonathan H. Manton: Bandwidth allocation in wireless ad hoc networks: Challenges and prospects. IEEE Communications Magazine 48(1): 80-85 (2010)
[j23]Minyi Huang, Jonathan H. Manton: Stochastic Consensus Seeking With Noisy and Directed Inter-Agent Communication: Fixed and Randomly Varying Topologies. IEEE Trans. Automat. Contr. 55(1): 235-241 (2010)
[j22]Salem Said, Christian Lageman, Nicolas Le Bihan, Jonathan H. Manton: Decompounding on compact lie groups. IEEE Transactions on Information Theory 56(6): 2766-2777 (2010)
[c15]Lin Li, Xiao Li, Anna Scaglione, Jonathan H. Manton: Decentralized Subspace Tracking via Gossiping. DCOSS 2010: 130-143
[c14]Juan Lu, Jonathan H. Manton, Ed Kazmierczak, Rodney Sinclair: Erythema detection in digital skin images. ICIP 2010: 2545-2548
2000 – 2009
- 2009
[j21]Shiro Ikeda, Jonathan H. Manton: Capacity of a Single Spiking Neuron Channel. Neural Computation 21(6): 1714-1748 (2009)
[j20]Minyi Huang, Jonathan H. Manton: Coordination and Consensus of Networked Agents with Noisy Measurements: Stochastic Algorithms and Asymptotic Behavior. SIAM J. Control and Optimization 48(1): 134-161 (2009)
[j19]Anatoli Torokhti, Jonathan H. Manton: Generic weighted filtering of stochastic signals. IEEE Transactions on Signal Processing 57(12): 4675-4685 (2009)
[c13]Weiwei Wu, Bill Moran, Jonathan H. Manton, Moshe Zukerman: Topology Design of Undersea Cables Considering Survivability Under Major Disasters. AINA Workshops 2009: 1154-1159
[c12]Salem Said, Nicolas Le Bihan, Christian Lageman, Jonathan H. Manton: Nonparametric estimation for compound poisson processes on compact Lie groups. ICASSP 2009: 3409-3412
[c11]
[i1]Salem Said, Christian Lageman, Nicolas Le Bihan, Jonathan H. Manton: Decompounding on compact Lie groups. CoRR abs/0907.2601 (2009)- 2008
[j18]Song Wang, Jonathan H. Manton: Blind SIMO channel identification using FFT/IFFT. Signal Processing 88(12): 3007-3010 (2008)- 2007
[j17]Amin Zia, James P. Reilly, Jonathan H. Manton, Shahram Shirani: An Information Geometric Approach to ML Estimation With Incomplete Data: Application to Semiblind MIMO Channel Identification. IEEE Transactions on Signal Processing 55(8): 3975-3986 (2007)- 2006
[j16]Jonathan H. Manton: A centroid (Karcher mean) approach to the joint approximate diagonalisation problem: The real symmetric case. Digital Signal Processing 16(5): 468-478 (2006)
[j15]Samir Attallah, Jonathan H. Manton, Karim Abed-Meraim: Convergence analysis of the NOJA algorithm using the ODE approach. Signal Processing 86(11): 3490-3495 (2006)
[c10]Song Wang, Jonathan H. Manton: A Low Complexity Frequency-domain Approach to SIMO System Identification. ICARCV 2006: 1-4- 2005
[j14]Jonathan H. Manton, Walter D. Neumann, Paul T. Norbury: On the algebraic identifiability of finite impulse response channels driven by linearly precoded signals. Systems & Control Letters 54(2): 125-134 (2005)
[j13]Jonathan H. Manton, Uwe Helmke, Iven M. Y. Mareels: A dual purpose principal and minor component flow. Systems & Control Letters 54(8): 759-769 (2005)- 2004
[j12]Kamran Rahbar, James P. Reilly, Jonathan H. Manton: Blind identification of MIMO FIR systems driven by quasistationary sources using second-order statistics: a frequency domain approach. IEEE Transactions on Signal Processing 52(2): 406-417 (2004)
[c9]Shahram Shahbazpanahi, Alex B. Gershman, Jonathan H. Manton: Closed-form channel estimation for blind decoding of orthogonal space-time block codes. ICC 2004: 603-607- 2003
[j11]Jonathan H. Manton, Walter D. Neumann: Totally blind channel identification by exploiting guard intervals. Systems & Control Letters 48(2): 113-119 (2003)
[j10]Jonathan H. Manton: Design and analysis of linear precoders under a mean square error criterion, Part I: foundations and worst case designs. Systems & Control Letters 49(2): 121-130 (2003)
[j9]Jonathan H. Manton: Design and analysis of linear precoders under a mean square error criterion, Part II: MMSE designs and conclusions. Systems & Control Letters 49(2): 131-140 (2003)
[j8]Jonathan H. Manton, Robert Mahony, Yingbo Hua: The geometry of weighted low-rank approximations. IEEE Transactions on Signal Processing 51(2): 500-514 (2003)- 2002
[j7]Jonathan H. Manton: The convex geometry of subchannel attenuation coefficients in linearly precoded OFDM Systems. IEEE Transactions on Information Theory 48(5): 1203-1206 (2002)
[j6]Jonathan H. Manton: Optimization algorithms exploiting unitary constraints. IEEE Transactions on Signal Processing 50(3): 635-650 (2002)
[c8]Jonathan H. Manton, Iven M. Y. Mareels, Samir Attallah: An analysis of the fast subspace tracking algorithm NOja. ICASSP 2002: 1101-1104
[c7]Maziar Nikpour, Jonathan H. Manton, Gen Hori: Algorithms on the Stiefel manifold for joint diagonalisation. ICASSP 2002: 1481-1484
[c6]Kamran Rahbar, James P. Reilly, Jonathan H. Manton: A frequency domain approach to blind identification of MIMO FIR systems driven by quasi-stationary signals. ICASSP 2002: 1717-1720
[c5]Duong H. Pham, Jonathan H. Manton: A Viterbi-like decoder for linearly precoded and m-coded communication systems. ICASSP 2002: 2257-2260- 2001
[j5]Jonathan H. Manton, Yingbo Hua: Robust frequency-domain precoders. IEEE Communications Letters 5(2): 40-42 (2001)
[j4]Jonathan H. Manton: Optimal training sequences and pilot tones for OFDM systems. IEEE Communications Letters 5(4): 151-153 (2001)
[j3]Jonathan H. Manton: Dissecting OFDM: the independent roles of the cyclic prefix and the IDFT operation. IEEE Communications Letters 5(12): 474-476 (2001)
[j2]Karim Abed-Meraim, Yong Xiang, Jonathan H. Manton, Yingbo Hua: Blind source-separation using second-order cyclostationary statistics. IEEE Transactions on Signal Processing 49(4): 694-701 (2001)
[c4]Jonathan H. Manton: A Packet Based Channel Identification Algorithm For Wireless Multimedia Communications. ICME 2001
[c3]Jonathan H. Manton: A Low Cost Channel Coding Scheme For Wireless Multimedia Communications. ICME 2001
[c2]Chi-Wah Kok, Yingbo Hua, Jonathan H. Manton: A nonuniform filterbank structure for channel precoding. ISCAS (2) 2001: 541-544
1990 – 1999
- 1998
[j1]Jonathan H. Manton, Vikram Krishnamurthy, H. Vincent Poor: James-Stein state filtering algorithms. IEEE Transactions on Signal Processing 46(9): 2431-2447 (1998)- 1997
[c1]Robert J. Elliott, Vikram Krishnamurthy, Jonathan H. Manton: Optimal Estimation of Poisson Rate from Discrete Time Observations. ICC (3) 1997: 1392-1395
Coauthor Index
data released under the ODC-BY 1.0 license. See also our legal information page
last updated on 2013-06-11 21:50 CEST by the dblp team



