Low power adder circuits, SERF, 10T Ⅰ,10T Ⅱ,10T Ⅲ and a complementary adder (28T) at physical layout level are evaluated. Simulations based on the extracted adder circuit layouts are run to assess how various circu...Low power adder circuits, SERF, 10T Ⅰ,10T Ⅱ,10T Ⅲ and a complementary adder (28T) at physical layout level are evaluated. Simulations based on the extracted adder circuit layouts are run to assess how various circuit setups can impact the speed and power consumption. In addition, impacts of output inverters on the circuit performance of modified SERF and 10T adders due to threshold loss problem are also examined. Differences among these adders are addressed and applications of these adders are suggested.展开更多
Formation flying orbit design is one of the key technologies for system design and performance analysis of the distributed SAR satellites. The approximately analytic solution of the passive stable formation flying orb...Formation flying orbit design is one of the key technologies for system design and performance analysis of the distributed SAR satellites. The approximately analytic solution of the passive stable formation flying orbit elements is explored based on the expansion form of Kepler's equation. A new method of orbital parameters design for three-dimensional formation flying SAR satellites is presented, and the precision of the orbital elements is analyzed. Formation flying orbit elements are calculated for the L-Band distributed SAR satellites using the formulas deduced in this paper. The accuracy of the orbital elements is validated by the computer simulation results presented in this paper.展开更多
A speaker model called complete feature corpus (CFC) and an evaluation algorithm of mutual information (MIE) are proposed for text-independent speaker identification. The CFC model represents the speech and pronunciat...A speaker model called complete feature corpus (CFC) and an evaluation algorithm of mutual information (MIE) are proposed for text-independent speaker identification. The CFC model represents the speech and pronunciation characteristics of speaker by a feature vector corpus which was trained from some typical speech samples. It hires multi-step mini-max search matching scheme for MIE algorithm to evaluate the similarity of speech features between input speech and the models in distance and information space. Maximum mutual information (MMI) decision criterion is used to decide the identity of speaker. Experiments on performance analysis with comparison to GMM method show that proposed model and evaluation algorithm are quite effective and presented a higher performance than ordinary GMM method.展开更多
文摘Low power adder circuits, SERF, 10T Ⅰ,10T Ⅱ,10T Ⅲ and a complementary adder (28T) at physical layout level are evaluated. Simulations based on the extracted adder circuit layouts are run to assess how various circuit setups can impact the speed and power consumption. In addition, impacts of output inverters on the circuit performance of modified SERF and 10T adders due to threshold loss problem are also examined. Differences among these adders are addressed and applications of these adders are suggested.
文摘Formation flying orbit design is one of the key technologies for system design and performance analysis of the distributed SAR satellites. The approximately analytic solution of the passive stable formation flying orbit elements is explored based on the expansion form of Kepler's equation. A new method of orbital parameters design for three-dimensional formation flying SAR satellites is presented, and the precision of the orbital elements is analyzed. Formation flying orbit elements are calculated for the L-Band distributed SAR satellites using the formulas deduced in this paper. The accuracy of the orbital elements is validated by the computer simulation results presented in this paper.
基金The work is supported by the University Natural Science Fund (04KJA510133) of Jiangsu Province.
文摘A speaker model called complete feature corpus (CFC) and an evaluation algorithm of mutual information (MIE) are proposed for text-independent speaker identification. The CFC model represents the speech and pronunciation characteristics of speaker by a feature vector corpus which was trained from some typical speech samples. It hires multi-step mini-max search matching scheme for MIE algorithm to evaluate the similarity of speech features between input speech and the models in distance and information space. Maximum mutual information (MMI) decision criterion is used to decide the identity of speaker. Experiments on performance analysis with comparison to GMM method show that proposed model and evaluation algorithm are quite effective and presented a higher performance than ordinary GMM method.
