为了更好地将电子信息类理论课程与工程应用结合,提升学生学以致用的能力,文章开发了基于经典自适应滤波最小均方误差(LMS:Least Mean Square)算法的MATLAB和FPGA一体化硬件仿真实验教学案例。利用MATLAB软件对自适应滤波算法进行编程设...为了更好地将电子信息类理论课程与工程应用结合,提升学生学以致用的能力,文章开发了基于经典自适应滤波最小均方误差(LMS:Least Mean Square)算法的MATLAB和FPGA一体化硬件仿真实验教学案例。利用MATLAB软件对自适应滤波算法进行编程设计,并借助QuartusⅡ来实现LMS算法的测试。该自适应滤波算法实验教学案例对于初学者来说通俗易懂,不仅有利于加深学生对自适应滤波理论和信号处理的理解,还可以提高学生自主进行项目开发和学以致用能力,以及解决复杂工程问题的能力。展开更多
Although ant colony algorithm for the heuristic solution of hard combinational optimization problems enjoy a rapidly growing popularity, but little is known about its convergence properties. Based on the introduction ...Although ant colony algorithm for the heuristic solution of hard combinational optimization problems enjoy a rapidly growing popularity, but little is known about its convergence properties. Based on the introduction of the basic principle and mathematical model, a novel approach to the convergence proof that applies directly to the ant colony algorithm is proposed in this paper. Then, a MATLAB GUI- based ant colony algorithm simulation platform is developed, and the interface of this simulation platform is very friendly, easy to use and to modify.展开更多
文摘为了更好地将电子信息类理论课程与工程应用结合,提升学生学以致用的能力,文章开发了基于经典自适应滤波最小均方误差(LMS:Least Mean Square)算法的MATLAB和FPGA一体化硬件仿真实验教学案例。利用MATLAB软件对自适应滤波算法进行编程设计,并借助QuartusⅡ来实现LMS算法的测试。该自适应滤波算法实验教学案例对于初学者来说通俗易懂,不仅有利于加深学生对自适应滤波理论和信号处理的理解,还可以提高学生自主进行项目开发和学以致用能力,以及解决复杂工程问题的能力。
文摘Although ant colony algorithm for the heuristic solution of hard combinational optimization problems enjoy a rapidly growing popularity, but little is known about its convergence properties. Based on the introduction of the basic principle and mathematical model, a novel approach to the convergence proof that applies directly to the ant colony algorithm is proposed in this paper. Then, a MATLAB GUI- based ant colony algorithm simulation platform is developed, and the interface of this simulation platform is very friendly, easy to use and to modify.
