The Experts below are selected from a list of 3099 Experts worldwide ranked by ideXlab platform
Gordon W. Roberts - One of the best experts on this subject based on the ideXlab platform.
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ISCAS - Sampled-data IIR Filtering using time-mode signal processing circuits
2009 IEEE International Symposium on Circuits and Systems, 2009Co-Authors: Michael M. Guttman, Gordon W. RobertsAbstract:The design of a second-order low-pass IIR Filter based on time-mode signal processing circuits is presented. The Filter is implemented using a set of building blocks that perform basic mathematical operations in the time-domain including time addition, weighted delayed time addition and subtraction, and unit delay. A second-order low-pass Chebyshev Filter was designed in a 0.18 µm CMOS process. Simulation results confirmed that the design can achieve low-pass Filtering, providing a maximum SNR of 63.6 dB and SNDR of 44.1 dB.
Michael M. Guttman - One of the best experts on this subject based on the ideXlab platform.
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sampled data iir Filtering using time mode signal processing circuits
International Symposium on Circuits and Systems, 2009Co-Authors: Michael M. Guttman, G W RobertsAbstract:The design of a second-order low-pass IIR Filter based on time-mode signal processing circuits is presented. The Filter is implemented using a set of building blocks that perform basic mathematical operations in the time-domain including time addition, weighted delayed time addition and subtraction, and unit delay. A second-order low-pass Chebyshev Filter was designed in a 0.18 µm CMOS process. Simulation results confirmed that the design can achieve low-pass Filtering, providing a maximum SNR of 63.6 dB and SNDR of 44.1 dB.
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ISCAS - Sampled-data IIR Filtering using time-mode signal processing circuits
2009 IEEE International Symposium on Circuits and Systems, 2009Co-Authors: Michael M. Guttman, Gordon W. RobertsAbstract:The design of a second-order low-pass IIR Filter based on time-mode signal processing circuits is presented. The Filter is implemented using a set of building blocks that perform basic mathematical operations in the time-domain including time addition, weighted delayed time addition and subtraction, and unit delay. A second-order low-pass Chebyshev Filter was designed in a 0.18 µm CMOS process. Simulation results confirmed that the design can achieve low-pass Filtering, providing a maximum SNR of 63.6 dB and SNDR of 44.1 dB.
Zhaolong Li - One of the best experts on this subject based on the ideXlab platform.
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dual band and triple band substrate integrated waveguide Filters with Chebyshev and quasi elliptic responses
IEEE Transactions on Microwave Theory and Techniques, 2007Co-Authors: Xiaoping Chen, Ke Wu, Zhaolong LiAbstract:In this paper, synthesis and design techniques of dual- and triple-passband Filters with Chebyshev and quasi-elliptic symmetric frequency responses are proposed and demonstrated for the first time on the basis of substrate integrated waveguide technology. The inverter coupled resonator section is first investigated, and then a dual-passband Chebyshev Filter, a triple-passband Chebyshev Filter, and a dual-passband quasi-elliptic Filter, which consist of the inverter coupled resonator sections, are synthesized from the generalized low-pass prototypes having Chebyshev or quasi-elliptic responses, respectively. Subsequently, theses Filters with a symmetric response are designed and implemented using the substrate integrated waveguide scheme over the -band frequency range. The inverter coupled resonator sections composed of side-by-side horizontally oriented substrate integrated waveguide cavities are coupled, in turn, by post-wall irises. 50-Omega microstrip lines are used to directly excite the Filters. Measured results are presented and compared to those simulated by Ansoft's High Frequency Structure Simulator (HFSS) software package. A good agreement between the simulated and measured results is observed, which has also validated the proposed concept of design and synthesis with the substrate integration technology.
John E. Pask - One of the best experts on this subject based on the ideXlab platform.
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Two-Level Chebyshev Filter Based Complementary Subspace Method: Pushing the Envelope of Large-Scale Electronic Structure Calculations
Journal of Chemical Theory and Computation, 2018Co-Authors: Amartya S. Banerjee, Lin Lin, Phanish Suryanarayana, Chao Yang, John E. PaskAbstract:We describe a novel iterative strategy for Kohn-Sham density functional theory calculations aimed at large systems (>1,000 electrons), applicable to metals and insulators alike. In lieu of explicit diagonalization of the Kohn-Sham Hamiltonian on every self-consistent field (SCF) iteration, we employ a two-level Chebyshev polynomial Filter based complementary subspace strategy to (1) compute a set of vectors that span the occupied subspace of the Hamiltonian; (2) reduce subspace diagonalization to just partially occupied states; and (3) obtain those states in an efficient, scalable manner via an inner Chebyshev Filter iteration. By reducing the necessary computation to just partially occupied states and obtaining these through an inner Chebyshev iteration, our approach reduces the cost of large metallic calculations significantly, while eliminating subspace diagonalization for insulating systems altogether. We describe the implementation of the method within the framework of the discontinuous Galerkin (DG) electronic structure method and show that this results in a computational scheme that can effectively tackle bulk and nano systems containing tens of thousands of electrons, with chemical accuracy, within a few minutes or less of wall clock time per SCF iteration on large-scale computing platforms. We anticipate that our method will be instrumental in pushing the envelope of large-scale ab initio molecular dynamics. As a demonstration of this, we simulate a bulk silicon system containing 8,000 atoms at finite temperature, and obtain an average SCF step wall time of 51 s on 34,560 processors; thus allowing us to carry out 1.0 ps of ab initio molecular dynamics in approximately 28 h (of wall time).
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Two-level Chebyshev Filter based complementary subspace method: pushing the envelope of large-scale electronic structure calculations
arXiv: Computational Physics, 2017Co-Authors: Amartya S. Banerjee, Lin Lin, Phanish Suryanarayana, Chao Yang, John E. PaskAbstract:We describe a novel iterative strategy for Kohn-Sham density functional theory calculations aimed at large systems (> 1000 electrons), applicable to metals and insulators alike. In lieu of explicit diagonalization of the Kohn-Sham Hamiltonian on every self-consistent field (SCF) iteration, we employ a two-level Chebyshev polynomial Filter based complementary subspace strategy to: 1) compute a set of vectors that span the occupied subspace of the Hamiltonian; 2) reduce subspace diagonalization to just partially occupied states; and 3) obtain those states in an efficient, scalable manner via an inner Chebyshev-Filter iteration. By reducing the necessary computation to just partially occupied states, and obtaining these through an inner Chebyshev iteration, our approach reduces the cost of large metallic calculations significantly, while eliminating subspace diagonalization for insulating systems altogether. We describe the implementation of the method within the framework of the Discontinuous Galerkin (DG) electronic structure method and show that this results in a computational scheme that can effectively tackle bulk and nano systems containing tens of thousands of electrons, with chemical accuracy, within a few minutes or less of wall clock time per SCF iteration on large-scale computing platforms. We anticipate that our method will be instrumental in pushing the envelope of large-scale ab initio molecular dynamics. As a demonstration of this, we simulate a bulk silicon system containing 8,000 atoms at finite temperature, and obtain an average SCF step wall time of 51 seconds on 34,560 processors; thus allowing us to carry out 1.0 ps of ab initio molecular dynamics in approximately 28 hours (of wall time).
Xiaoping Chen - One of the best experts on this subject based on the ideXlab platform.
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dual band and triple band substrate integrated waveguide Filters with Chebyshev and quasi elliptic responses
IEEE Transactions on Microwave Theory and Techniques, 2007Co-Authors: Xiaoping Chen, Ke Wu, Zhaolong LiAbstract:In this paper, synthesis and design techniques of dual- and triple-passband Filters with Chebyshev and quasi-elliptic symmetric frequency responses are proposed and demonstrated for the first time on the basis of substrate integrated waveguide technology. The inverter coupled resonator section is first investigated, and then a dual-passband Chebyshev Filter, a triple-passband Chebyshev Filter, and a dual-passband quasi-elliptic Filter, which consist of the inverter coupled resonator sections, are synthesized from the generalized low-pass prototypes having Chebyshev or quasi-elliptic responses, respectively. Subsequently, theses Filters with a symmetric response are designed and implemented using the substrate integrated waveguide scheme over the -band frequency range. The inverter coupled resonator sections composed of side-by-side horizontally oriented substrate integrated waveguide cavities are coupled, in turn, by post-wall irises. 50-Omega microstrip lines are used to directly excite the Filters. Measured results are presented and compared to those simulated by Ansoft's High Frequency Structure Simulator (HFSS) software package. A good agreement between the simulated and measured results is observed, which has also validated the proposed concept of design and synthesis with the substrate integration technology.