High-Throughput FPGA Implementation of Matrix Inversion for Control Systems
暂无分享,去创建一个
Ming Li | Lei Zuo | Xiao-Wei Zhang | Jian-Xin Guo | Ming Li | Xiaowei Zhang | Lei Zuo | Jian-Xin Guo
[1] Javier Hormigo,et al. High-Throughput FPGA Implementation of QR Decomposition , 2015, IEEE Transactions on Circuits and Systems II: Express Briefs.
[2] Jarmo Takala,et al. Complex fixed-point matrix inversion using transport triggered architecture , 2005, 2005 IEEE International Conference on Application-Specific Systems, Architecture Processors (ASAP'05).
[3] Oscar Gustafsson,et al. Finite wordlength properties of matrix inversion algorithms in fixed-point and logarithmic number systems , 2011, 2011 20th European Conference on Circuit Theory and Design (ECCTD).
[4] Chong Chen,et al. FPGA Implementation of a Recursive Rank One Updating Matrix Inversion Algorithm for Constrained MPC , 2006, 2006 6th World Congress on Intelligent Control and Automation.
[5] Kamal Al-Haddad,et al. A Network Tearing Technique for FPGA-Based Real-Time Simulation of Power Converters , 2015, IEEE Transactions on Industrial Electronics.
[6] Samuel Dilshan Somasundaram. Linearly Constrained Robust Capon Beamforming , 2012, IEEE Transactions on Signal Processing.
[7] Nicholas J. Higham,et al. INVERSE PROBLEMS NEWSLETTER , 1991 .
[8] S. Thomas Alexander,et al. Adaptive Signal Processing , 1986, Texts and Monographs in Computer Science.
[9] Dewei Li,et al. An Improved Predictive Controller on the FPGA by Hardware Matrix Inversion , 2018, IEEE Transactions on Industrial Electronics.
[10] S. Joe Qin,et al. A survey of industrial model predictive control technology , 2003 .
[11] Philipp Birken,et al. Numerical Linear Algebra , 2011, Encyclopedia of Parallel Computing.
[12] Stefan Almér,et al. Model Predictive Control in the Multi-Megawatt Range , 2016, IEEE Transactions on Industrial Electronics.
[13] Kai Strunz,et al. Real-Time Simulation Technologies for Power Systems Design, Testing, and Analysis , 2015, IEEE Power and Energy Technology Systems Journal.
[14] James Ward,et al. Space-time adaptive processing for airborne radar , 1994, 1995 International Conference on Acoustics, Speech, and Signal Processing.
[15] W. Marsden. I and J , 2012 .
[16] Jean-Pierre David. Low latency and division free Gauss-Jordan solver in floating point arithmetic , 2017, J. Parallel Distributed Comput..
[17] Erik G. Larsson,et al. Scaling Up MIMO: Opportunities and Challenges with Very Large Arrays , 2012, IEEE Signal Process. Mag..
[18] Danilo Orlando,et al. Adaptive Radar Detection of a Subspace Signal Embedded in Subspace Structured Plus Gaussian Interference Via Invariance , 2016, IEEE Transactions on Signal Processing.
[19] David S. Watkins,et al. Fundamentals of matrix computations , 1991 .
[20] Carlos H. Llanos,et al. FPGA implementation of large-scale matrix inversion using single, double and custom floating-point precision , 2012, 2012 VIII Southern Conference on Programmable Logic.
[21] Xiaohu You,et al. On the Low-Complexity, Hardware-Friendly Tridiagonal Matrix Inversion for Correlated Massive MIMO Systems , 2018, IEEE Transactions on Vehicular Technology.
[22] Xiqi Gao,et al. Cellular architecture and key technologies for 5G wireless communication networks , 2014, IEEE Communications Magazine.
[23] M. Ylinen,et al. A fixed-point implementation of matrix inversion using Cholesky decomposition , 2003, 2003 46th Midwest Symposium on Circuits and Systems.
[24] Matin Hashemi,et al. A Matrix-Inversion Technique for FPGA-Based Real-Time EMT Simulation of Power Converters , 2019, IEEE Transactions on Industrial Electronics.
[25] Aravindh Krishnamoorthy,et al. Matrix inversion using Cholesky decomposition , 2011, 2013 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA).