The Experts below are selected from a list of 24078 Experts worldwide ranked by ideXlab platform
Tao Xiang - One of the best experts on this subject based on the ideXlab platform.
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transfer matrix density matrix renormalization group theory for thermodynamics of one dimensional quantum systems
1997Co-Authors: Xiaoqun Wang, Tao XiangAbstract:The transfer-matrix density-matrix renormalization-group method for one-dimensional quantum lattice systems has been developed by considering the Symmetry Property of the transfer matrix and introducing the asymmetric reduced density matrix. We have evalu
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transfer matrix density matrix renormalization group theory for thermodynamics of one dimensional quantum systems
1997Co-Authors: Xiaoqun Wang, Tao XiangAbstract:The transfer-matrix density-matrix renormalization-group method for one-dimensional quantum lattice systems has been developed by considering the Symmetry Property of the transfer matrix and introducing the asymmetric reduced density matrix. We have evaluated a number of thermodynamic quantities of the anisotropic spin-1/2 Heisenberg model using this method and found that the results agree very accurately with the exact ones. The relative errors for the spin susceptibility are less than ${10}^{\ensuremath{-}3}$ down to $T=0.01J$ with 80 states kept.
Xiaoqun Wang - One of the best experts on this subject based on the ideXlab platform.
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transfer matrix density matrix renormalization group theory for thermodynamics of one dimensional quantum systems
1997Co-Authors: Xiaoqun Wang, Tao XiangAbstract:The transfer-matrix density-matrix renormalization-group method for one-dimensional quantum lattice systems has been developed by considering the Symmetry Property of the transfer matrix and introducing the asymmetric reduced density matrix. We have evalu
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transfer matrix density matrix renormalization group theory for thermodynamics of one dimensional quantum systems
1997Co-Authors: Xiaoqun Wang, Tao XiangAbstract:The transfer-matrix density-matrix renormalization-group method for one-dimensional quantum lattice systems has been developed by considering the Symmetry Property of the transfer matrix and introducing the asymmetric reduced density matrix. We have evaluated a number of thermodynamic quantities of the anisotropic spin-1/2 Heisenberg model using this method and found that the results agree very accurately with the exact ones. The relative errors for the spin susceptibility are less than ${10}^{\ensuremath{-}3}$ down to $T=0.01J$ with 80 states kept.
Jurgen Peissig - One of the best experts on this subject based on the ideXlab platform.
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cfo estimation algorithm for oqam ofdm systems based on the conjugate Symmetry Property
2012Co-Authors: Christoph Thein, Martin Fuhrwerk, Jurgen PeissigAbstract:In this contribution, a carrier frequency offset (CFO) estimator for OQAM-OFDM systems based on the conjugate Symmetry Property of a properly designed synchronization sequence is proposed. It extends the concept of a previously described symbol-timing and phase offset recovery scheme to build a complete time-domain synchronization method. The outcome of numerical evaluations shows that the proposed CFO estimation algorithm is suitable as a coarse CFO correction for continuous stream transmission systems. It delivers satisfying results in case of AWGN channels as well as for channels with moderate delay spreads while exhibiting the drawback of a high sensitivity to symbol timing errors. Furthermore, the possibility to reduce the overhead of the synchronization sequence by allowing a certain amount of self-interference is investigated.
Thomas Wriedt - One of the best experts on this subject based on the ideXlab platform.
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Calculation of the T matrix in the null-field method with discrete sources
1999Co-Authors: Adrian Doicu, Thomas WriedtAbstract:The problem of computing the transition matrix (T matrix) in the framework of the null-field method with discrete sources is treated. Numerical experiments are performed to investigate the Symmetry Property of the T matrix when localized and distributed vector spherical functions are used for solution construction.
T Kailath - One of the best experts on this subject based on the ideXlab platform.
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detection of number of sources via exploitation of centro Symmetry Property
1994Co-Authors: R Roy, T KailathAbstract:Forward/backward (FB) averaging is a technique which can be employed in sensor array signal processing for exploiting a so-called centro-Symmetry Property of the signal subspace to improve parameter estimation accuracy. Although FB averaging effectively doubles the number of data samples, it also introduces correlation among these data vectors. This correlation complicates not only the performance analysis, but also the detection of the number of sources. When FB averaging is employed, existing detection procedures such as sequential hypothesis (SH) likelihood ratio tests, minimum description length (MDL), and an information criterion (AIC) must be modified to correctly account for this preprocessing of the data. Herein, proper exploitation of the centro-Symmetry Property of the FB averaged covariance is described and a rigorous analysis is conducted. It is shown that the general scheme of existing methods is still applicable to the FB averaging case, but that the parameters (e.g., degrees of freedom) need to be adjusted. >
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detection of number of sources via exploitation of centro Symmetry Property
1992Co-Authors: R Roy, T KailathAbstract:Forward/backward (FB) averaging is employed when possible in sensor array processing to improve parameter estimation accuracy by exploiting a centro-Symmetry of the signal subspace. While FB averaging effectively doubles the number of data samples, it also introduces intersample correlation. This correlation complicates not only the performance analysis, but the detection of the number of sources as well. It is shown how existing detection procedures such as sequential hypothesis (or likelihood ratio) tests, minimum description length criterion (MDL), and AIC (Akaike information criterion) can be modified when FB averaging is used. >
