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1. Full Text High-resolution time delay estimation via sparse parameter estimation methods
by Park, Hyung-Rae and Li, Jian
IET signal processing, ISSN 1751-9675, 4/2020, Volume 14, Issue 2, pp. 97 - 105
Research Article | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology
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2. Full Text H∞ state estimation for memristive neural networks with time-varying delays: The discrete-time case
by Ding, Sanbo and Wang, Zhanshan and Wang, Jidong and Zhang, Huaguang
Neural networks, ISSN 0893-6080, 12/2016, Volume 84, pp. 47 - 56
Time-varying delays | [formula omitted] state estimation | Discrete-time memristive neural networks | Robust analysis method | state estimation | Models, Theoretical | Algorithms | Time Factors | Computer Simulation | Neural Networks (Computer) | Neural networks | Analysis | Index Medicus
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3. Full Text On reachable set estimation of singular systems
by Feng, Zhiguang and Lam, James
Automatica (Oxford), ISSN 0005-1098, 02/2015, Volume 52, pp. 146 - 153
Time-delay systems | Singular systems | Reachable set estimation | Engineering, Electrical & Electronic | Engineering | Automation & Control Systems | Technology | Science & Technology
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4. Full Text Position and Orientation Estimation Through Millimeter-Wave MIMO in 5G Systems
by Shahmansoori, Arash and Garcia, Gabriel E and Destino, Giuseppe and Seco-Granados, Gonzalo and Wymeersch, Henk
IEEE transactions on wireless communications, ISSN 1536-1276, 03/2018, Volume 17, Issue 3, pp. 1822 - 1835
5G mobile communication | Estimation | matching pursuit | obstructed-line-of-sight | position and orientation estimation | CRB | Channel estimation | line-of-sight | non-line-of-sight | expectation maximization | Delays | 5G networks | MIMO communication | Antenna arrays | mm-wave | Telekommunikation | Kommunikationssystem | Signalbehandling | Telecommunications | Communication Systems | Signal Processing
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5. Full Text Structured Compressive Sensing-Based Spatio-Temporal Joint Channel Estimation for FDD Massive MIMO
by Zhen Gao and Linglong Dai and Wei Dai and Byonghyo Shim and Zhaocheng Wang
IEEE transactions on communications, ISSN 0090-6778, 02/2016, Volume 64, Issue 2, pp. 601 - 617
Wireless communication | frequency division duplex (FDD) | Correlation | OFDM | Transmitting antennas | Channel estimation | Massive MIMO | MIMO | Delays | structured compressive sensing (SCS) | channel estimation | Engineering, Electrical & Electronic | Engineering | Telecommunications | Technology | Science & Technology | Mobile communication systems | Wireless communication systems | Research | MIMO communications | Frequency division | Pilots | Least squares method | Estimates | Channels | Gain | Antennas | Optimization
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6. Full Text H∞ state estimation for discrete-time neural networks with distributed delays and randomly occurring uncertainties through Fading channels
by Hou, Nan and Dong, Hongli and Wang, Zidong and Ren, Weijian and Alsaadi, Fuad E
Neural networks, ISSN 0893-6080, 05/2017, Volume 89, pp. 61 - 73
Recurrent neural networks | Randomly occurring uncertainties | Channel fadings | State estimation | Infinitely distributed delays | Models, Theoretical | Uncertainty | Algorithms | Time Factors | Computer Simulation | Random Allocation | Neural Networks (Computer) | Fading channels | Neural networks | Analysis | Index Medicus
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7. Full Text State estimation of T–S fuzzy delayed neural networks with Markovian jumping parameters using sampled-data control
by Syed Ali, M and Gunasekaran, N and Zhu, Quanxin
Fuzzy sets and systems, ISSN 0165-0114, 01/2017, Volume 306, pp. 87 - 104
Sampled-data control | Lyapunov method | Linear matrix inequality | T–S fuzzy neural network | Time-varying delay | Statistics & Probability | Physical Sciences | Technology | Computer Science | Computer Science, Theory & Methods | Mathematics | Mathematics, Applied | Science & Technology | Neural networks | Analysis
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8. Full Text Information-Theoretic Compressive Sensing Kernel Optimization and Bayesian Cramér–Rao Bound for Time Delay Estimation
by Yujie Gu and Goodman, Nathan A
IEEE transactions on signal processing, ISSN 1053-587X, 09/2017, Volume 65, Issue 17, pp. 4525 - 4537
Delay effects | Compressive sensing (CS) | Estimation | Gaussian mixture (GM) | time delay estimation | minimum mean-square error (MMSE) | Analog-digital conversion | Radar | sensing kernel optimization | Sensors | Cramér–Rao bound (CRB) | mutual information | Kernel | Compressed sensing | Cramér-Rao bound (CRB) | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology
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9. Full Text A Round-Robin type protocol for distributed estimation with H∞ consensus
by Ugrinovskii, V and Fridman, E
Systems & control letters, ISSN 0167-6911, 07/2014, Volume 69, Issue 1, pp. 103 - 110
Sampled-input systems | Time-delay systems | Distributed estimation | Robust observers | Vector dissipativity | Large-scale systems | Consensus
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10. Full Text Application-aware end-to-end delay and message loss estimation in Internet of Things (IoT) — MQTT-SN protocols
by Guha Roy, Deepsubhra and Mahato, Bipasha and De, Debashis and Buyya, Rajkumar
Future generation computer systems, ISSN 0167-739X, 12/2018, Volume 89, pp. 300 - 316
Mosquitto | Publish/subscribe system | Pub-to-sub delay | MQTT-SN | Android MQTT application | Eclipse-Paho | Computer Science, Theory & Methods | Technology | Computer Science | Science & Technology | Computer science | Cloud computing | Algorithms | Sensors
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11. Full Text Some novel approaches on state estimation of delayed neural networks
by Shi, Kaibo and Liu, Xinzhi and Tang, Yuanyan and Zhu, Hong and Zhong, Shouming
Information sciences, ISSN 0020-0255, 12/2016, Volume 372, pp. 313 - 331
Delay-partition approach | Linear matrix inequalities (LMIs) | Neural networks | Time-varying delay | State estimation | Computer Science, Information Systems | Technology | Computer Science | Science & Technology | Information science | Computer simulation | Integrals | Mathematical analysis | Mathematical models | Estimators | Delay
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12. Full Text H∞ estimation for uncertain systems with limited communication capacity
by Gao, Huijun and Chen, Tongwen
IEEE transactions on automatic control, ISSN 0018-9286, 11/2007, Volume 52, Issue 11, pp. 2070 - 2084
Uncertain systems | Filtering | Measurement quantization | Networked control systems (NCSs) | Signal transmission delay | Estimation | Communication channels | Quantization | Data packet dropout | Robust estimation | Robustness | Delay | Applied sciences | Control theory. Systems | Process control. Computer integrated manufacturing | Exact sciences and technology | Computer science; control theory; systems
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13. Full Text Reachable Set Estimation of T-S Fuzzy Systems With Time-Varying Delay
by Zhiguang Feng and Wei Xing Zheng and Ligang Wu
IEEE transactions on fuzzy systems, ISSN 1063-6706, 08/2017, Volume 25, Issue 4, pp. 878 - 891
time-varying delay | Takagi–Sugeno (T–S) fuzzy systems | Stability criteria | Estimation | Delays | Linear matrix inequalities | Time-varying systems | Reachable set estimation | Fuzzy systems | Takagi-Sugeno (T-S) fuzzy systems | Engineering, Electrical & Electronic | Engineering | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Fuzzy sets | Initial conditions | Discrete time systems
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14. Full Text Non-fragile state estimation for discrete Markovian jumping neural networks
by Hou, Nan and Dong, Hongli and Wang, Zidong and Ren, Weijian and Alsaadi, Fuad E
Neurocomputing (Amsterdam), ISSN 0925-2312, 02/2016, Volume 179, pp. 238 - 245
Markovian jumping | Nonlinearity | Time delays | Non-fragile state estimation | Estimator gain variations | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Computer science | Markov processes | Numerical analysis | Neural networks | Analysis | Computer simulation | Mathematical models | Jumping | State estimation | Estimators | Gain
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