传统的IC设计方法已无法适应新的片上系统(System On a Chip,SOC)设计要求,需要根本的变革,即从以功能设计为基础的传统IC设计流程转变到以功能整合为基础的SOC设计全新流程。SOC设计以IP的设计复用和功能组装、整合来完成。随着以IP核...传统的IC设计方法已无法适应新的片上系统(System On a Chip,SOC)设计要求,需要根本的变革,即从以功能设计为基础的传统IC设计流程转变到以功能整合为基础的SOC设计全新流程。SOC设计以IP的设计复用和功能组装、整合来完成。随着以IP核复用为基础的SOC设计技术的发展,在实际设计时如何有效地对众多IP供应商提供IP核进行有效互联的问题日益受到重视。文章基于标准的接口协议——虚拟元件接口(VCI,Virtual Component Interface),探索了一条快速、简便、稳定且易于验证的SOC内核互连的方案。展开更多
In this paper, with the theory of nonlinear dynamic systems, It is analyzed that the dynamic behavior and the predictability for the monthly mean variations of the sunspot relative number recorded from January 1891 to...In this paper, with the theory of nonlinear dynamic systems, It is analyzed that the dynamic behavior and the predictability for the monthly mean variations of the sunspot relative number recorded from January 1891 to December 1996. In the progress, the fractal dimension (D = 3.3 +/- 0.2) for the variation process rt as computed. This helped us to determine the embedded dimension [2 x D + 1] = 7. By computing the Lyapunov index (lambda(1) = 0.863), it was indicated that the variation process is a chaotic system. The Kolmogorov entropy (K = 0.0260) was also computed, which provides, theoretically, the predicable time scale. And at the end, according to the result of the analysis above, an experimental predication is made, whose data was a part cut from the sample data.展开更多
文摘传统的IC设计方法已无法适应新的片上系统(System On a Chip,SOC)设计要求,需要根本的变革,即从以功能设计为基础的传统IC设计流程转变到以功能整合为基础的SOC设计全新流程。SOC设计以IP的设计复用和功能组装、整合来完成。随着以IP核复用为基础的SOC设计技术的发展,在实际设计时如何有效地对众多IP供应商提供IP核进行有效互联的问题日益受到重视。文章基于标准的接口协议——虚拟元件接口(VCI,Virtual Component Interface),探索了一条快速、简便、稳定且易于验证的SOC内核互连的方案。
文摘In this paper, with the theory of nonlinear dynamic systems, It is analyzed that the dynamic behavior and the predictability for the monthly mean variations of the sunspot relative number recorded from January 1891 to December 1996. In the progress, the fractal dimension (D = 3.3 +/- 0.2) for the variation process rt as computed. This helped us to determine the embedded dimension [2 x D + 1] = 7. By computing the Lyapunov index (lambda(1) = 0.863), it was indicated that the variation process is a chaotic system. The Kolmogorov entropy (K = 0.0260) was also computed, which provides, theoretically, the predicable time scale. And at the end, according to the result of the analysis above, an experimental predication is made, whose data was a part cut from the sample data.
