The Experts below are selected from a list of 324 Experts worldwide ranked by ideXlab platform
Dongsheng Guo - One of the best experts on this subject based on the ideXlab platform.
-
Time-Varying Complex Reciprocal
Zhang Functions and Various Models, 2015Co-Authors: Yunong Zhang, Dongsheng GuoAbstract:In Chap. 1, different ZD models based on different ZFs have been presented and investigated to solve for time-varying Reciprocal in real domain. In this chapter, such a ZD approach (i.e., different ZFs leading to different ZD models) is extended and exploited for time-varying Reciprocal computation in Complex domain. Specifically, by defining four different ZFs, the corresponding four different ZD models are proposed, generalized, developed, and investigated to solve for time-varying Complex Reciprocal. Through three illustrative examples, the efficacy of the proposed Complex ZD models for time-varying Complex Reciprocal finding is substantiated evidently.
-
Time-varying Complex Reciprocals solved by ZD via different Complex Zhang functions
Proceedings of 2012 2nd International Conference on Computer Science and Network Technology, 2012Co-Authors: Yunong Zhang, Dongsheng Guo, Pei ChenAbstract:A novel type of neural dynamics, which is named Zhang dynamics (ZD), has been proposed by Zhang et al. since 2001. Such a ZD, which is based on an indefinite Zhang function (ZF), is designed for online solution of various time-varying problems. As the design basis of ZD, ZF is introduced as an error monitoring-and-control function in the design procedure, and is quite different from the norm-based positive-definite energy function which is usually associated with the gradient-based dynamics (GD). In this paper, the ZD method is extended and exploited for online solution of time-varying Complex Reciprocals for the first time. Then, different Complex ZFs are introduced in this paper, and the corresponding Complex ZD models are proposed and developed for the time-varying Complex Reciprocal computation. Through illustrative examples, the efficacy of the proposed Complex ZD models for online solution of time-varying Complex Reciprocals is substantiated evidently.
Yunong Zhang - One of the best experts on this subject based on the ideXlab platform.
-
Time-Varying Complex Reciprocal
Zhang Functions and Various Models, 2015Co-Authors: Yunong Zhang, Dongsheng GuoAbstract:In Chap. 1, different ZD models based on different ZFs have been presented and investigated to solve for time-varying Reciprocal in real domain. In this chapter, such a ZD approach (i.e., different ZFs leading to different ZD models) is extended and exploited for time-varying Reciprocal computation in Complex domain. Specifically, by defining four different ZFs, the corresponding four different ZD models are proposed, generalized, developed, and investigated to solve for time-varying Complex Reciprocal. Through three illustrative examples, the efficacy of the proposed Complex ZD models for time-varying Complex Reciprocal finding is substantiated evidently.
-
Time-varying Complex Reciprocals solved by ZD via different Complex Zhang functions
Proceedings of 2012 2nd International Conference on Computer Science and Network Technology, 2012Co-Authors: Yunong Zhang, Dongsheng Guo, Pei ChenAbstract:A novel type of neural dynamics, which is named Zhang dynamics (ZD), has been proposed by Zhang et al. since 2001. Such a ZD, which is based on an indefinite Zhang function (ZF), is designed for online solution of various time-varying problems. As the design basis of ZD, ZF is introduced as an error monitoring-and-control function in the design procedure, and is quite different from the norm-based positive-definite energy function which is usually associated with the gradient-based dynamics (GD). In this paper, the ZD method is extended and exploited for online solution of time-varying Complex Reciprocals for the first time. Then, different Complex ZFs are introduced in this paper, and the corresponding Complex ZD models are proposed and developed for the time-varying Complex Reciprocal computation. Through illustrative examples, the efficacy of the proposed Complex ZD models for online solution of time-varying Complex Reciprocals is substantiated evidently.
Nanning Zheng - One of the best experts on this subject based on the ideXlab platform.
-
design of high throughput fixed point Complex Reciprocal square root unit
IEEE Transactions on Circuits and Systems Ii-express Briefs, 2010Co-Authors: Dong Wang, Milos D. Ercegovac, Nanning ZhengAbstract:Complex Reciprocal and square-root operations are used in many digital signal processing (DSP) and numerical computations. In particular, high-throughput fixed-point implementations are desired in high-performance systems. This brief describes a novel design of high-throughput 16-bit fixed-point Complex Reciprocal/square-root unit. Our approach uses an interpolation algorithm based on the 2-D cubic convolution. Consisting of lookup tables, a small amount of logic, and embedded DSP blocks, the unit is implemented as a four-stage pipeline, achieving a throughput rate of 46 MHz on the Altera Stratix-II FPGA, comparing favorably with the existing designs which achieve a maximum throughput of about 10 MHz on mainstream field-programmable gate arrays (FPGAs). The proposed scheme is also applicable to high-throughput implementation on other platforms as well as of other Complex functions.
-
Design of High-Throughput Fixed-Point Complex Reciprocal/Square-Root Unit
IEEE Transactions on Circuits and Systems II: Express Briefs, 2010Co-Authors: Dong Wang, Milos D. Ercegovac, Nanning ZhengAbstract:Complex Reciprocal and square-root operations are used in many digital signal processing (DSP) and numerical computations. In particular, high-throughput fixed-point implementations are desired in high-performance systems. This brief describes a novel design of high-throughput 16-bit fixed-point Complex Reciprocal/square-root unit. Our approach uses an interpolation algorithm based on the 2-D cubic convolution. Consisting of lookup tables, a small amount of logic, and embedded DSP blocks, the unit is implemented as a four-stage pipeline, achieving a throughput rate of 46 MHz on the Altera Stratix-II FPGA, comparing favorably with the existing designs which achieve a maximum throughput of about 10 MHz on mainstream field-programmable gate arrays (FPGAs). The proposed scheme is also applicable to high-throughput implementation on other platforms as well as of other Complex functions.
Dong Wang - One of the best experts on this subject based on the ideXlab platform.
-
Complex Function Approximation Using Two-Dimensional Interpolation
IEEE Transactions on Computers, 2014Co-Authors: Dong Wang, Milos D. Ercegovac, Yang XiaoAbstract:This paper presents a new scheme for evaluating Complex Reciprocal and exponential functions in hardware. The proposed method utilizes a two-dimensional convolution algorithm to interpolate bivariate functions from tabulated function values in the Complex domain. To reduce the memory requirements for lookup tables, the interpolation is decomposed into independent row and column computations, such that the same coefficient table can be shared. Three different interpolation kernels from degree-1 (linear) to degree-2 (quadratic Lagrange) and degree-3 (cubic Lagrange) are explored to find the optimal design parameters and the most acceptable trade-offs between performance and hardware resources. Moreover, a generic hardware architecture is designed to provide scalable implementation capabilities for computation precision and interpolation degree. To verify the proposed architecture, eight Complex Reciprocal and eight Complex exponential design instances are implemented. The ASIC- and FPGA-based experimental results show that the proposed scheme can efficiently approximate the Complex Reciprocal and exponential functions with up to 16-bit precision, as well as achieve a considerable reduction of memory requirements compared with traditional bipartite and multipartite schemes. The proposed method is also applicable to other Complex functions.
-
design of high throughput fixed point Complex Reciprocal square root unit
IEEE Transactions on Circuits and Systems Ii-express Briefs, 2010Co-Authors: Dong Wang, Milos D. Ercegovac, Nanning ZhengAbstract:Complex Reciprocal and square-root operations are used in many digital signal processing (DSP) and numerical computations. In particular, high-throughput fixed-point implementations are desired in high-performance systems. This brief describes a novel design of high-throughput 16-bit fixed-point Complex Reciprocal/square-root unit. Our approach uses an interpolation algorithm based on the 2-D cubic convolution. Consisting of lookup tables, a small amount of logic, and embedded DSP blocks, the unit is implemented as a four-stage pipeline, achieving a throughput rate of 46 MHz on the Altera Stratix-II FPGA, comparing favorably with the existing designs which achieve a maximum throughput of about 10 MHz on mainstream field-programmable gate arrays (FPGAs). The proposed scheme is also applicable to high-throughput implementation on other platforms as well as of other Complex functions.
-
Design of High-Throughput Fixed-Point Complex Reciprocal/Square-Root Unit
IEEE Transactions on Circuits and Systems II: Express Briefs, 2010Co-Authors: Dong Wang, Milos D. Ercegovac, Nanning ZhengAbstract:Complex Reciprocal and square-root operations are used in many digital signal processing (DSP) and numerical computations. In particular, high-throughput fixed-point implementations are desired in high-performance systems. This brief describes a novel design of high-throughput 16-bit fixed-point Complex Reciprocal/square-root unit. Our approach uses an interpolation algorithm based on the 2-D cubic convolution. Consisting of lookup tables, a small amount of logic, and embedded DSP blocks, the unit is implemented as a four-stage pipeline, achieving a throughput rate of 46 MHz on the Altera Stratix-II FPGA, comparing favorably with the existing designs which achieve a maximum throughput of about 10 MHz on mainstream field-programmable gate arrays (FPGAs). The proposed scheme is also applicable to high-throughput implementation on other platforms as well as of other Complex functions.
Cynthia A. Berg - One of the best experts on this subject based on the ideXlab platform.
-
Parent-adolescent collaboration: an interpersonal model for understanding optimal interactions.
Clinical child and family psychology review, 2007Co-Authors: Ryan M. Beveridge, Cynthia A. BergAbstract:Current parent–adolescent behavioral interaction research highlights the importance of three elements of behavior in defining adaptive interactions: autonomy, control, and warmth vs. hostility. However, this research has largely addressed the developmental needs and psychosocial outcomes of adolescents, as opposed to parents, with a focus on how parent and adolescent behaviors influence adolescent adaptation. This paper utilizes both adolescent and mid-life developmental research, as well as parent–adolescent interaction research, to introduce a model for conceptualizing parent–adolescent interactions as a transactional process in which both parental and adolescent development are considered. Further, ideas are presented describing how adaptive parent–adolescent interactions may change across adolescence. The concept of collaboration is proposed as a conceptual tool for assessing one form of adaptive parent–adolescent interactions. The structural analysis of social behavior (SASB) is presented as a model for studying the Complex Reciprocal processes that occur in parent–adolescent interpersonal processes.
-
Parent–Adolescent Collaboration: An Interpersonal Model for Understanding Optimal Interactions
Clinical Child and Family Psychology Review, 2007Co-Authors: Ryan M. Beveridge, Cynthia A. BergAbstract:Current parent–adolescent behavioral interaction research highlights the importance of three elements of behavior in defining adaptive interactions: autonomy, control, and warmth vs. hostility. However, this research has largely addressed the developmental needs and psychosocial outcomes of adolescents, as opposed to parents, with a focus on how parent and adolescent behaviors influence adolescent adaptation. This paper utilizes both adolescent and mid-life developmental research, as well as parent–adolescent interaction research, to introduce a model for conceptualizing parent–adolescent interactions as a transactional process in which both parental and adolescent development are considered. Further, ideas are presented describing how adaptive parent–adolescent interactions may change across adolescence. The concept of collaboration is proposed as a conceptual tool for assessing one form of adaptive parent–adolescent interactions. The structural analysis of social behavior (SASB) is presented as a model for studying the Complex Reciprocal processes that occur in parent–adolescent interpersonal processes.