针对球译码检测算法的搜索半径影响着其算法复杂度的问题,提出一种改进算法。改进算法对球译码检测算法的搜索半径乘上一个常量压缩因子,且在每层搜索中削减噪声因子的影响。通过缩减搜索球半径、缩小搜索范围实现算法复杂度的降低。仿...针对球译码检测算法的搜索半径影响着其算法复杂度的问题,提出一种改进算法。改进算法对球译码检测算法的搜索半径乘上一个常量压缩因子,且在每层搜索中削减噪声因子的影响。通过缩减搜索球半径、缩小搜索范围实现算法复杂度的降低。仿真结果显示:在信噪比低于10 d B时,改进算法比传统球译码检测算法计算复杂度平均降低18%左右,同时误码性能损失较小。展开更多
In this paper, a collocation technique with the modified equilibrium on line method (ELM) for imposition of Neumann (natural) boundary conditions is presented for solving the two-dimensional problems of linear ela...In this paper, a collocation technique with the modified equilibrium on line method (ELM) for imposition of Neumann (natural) boundary conditions is presented for solving the two-dimensional problems of linear elastic body vibrations. In the modified ELM, equilibrium over the lines on the natural boundary is satisfied as Neumann boundary condition equations. In other words, the natural boundary conditions are satisfied naturally by using the weak formulation. The performance of the modified version of the ELM is studied for collocation methods based on two different ways to construct meshless shape functions: moving least squares approximation and radial basis point interpolation. Numerical examples of two-dimensional free and forced vibration analyses show that by using the modified ELM, more stable and accurate results would be obtained in comparison with the direct collocation method.展开更多
文摘针对球译码检测算法的搜索半径影响着其算法复杂度的问题,提出一种改进算法。改进算法对球译码检测算法的搜索半径乘上一个常量压缩因子,且在每层搜索中削减噪声因子的影响。通过缩减搜索球半径、缩小搜索范围实现算法复杂度的降低。仿真结果显示:在信噪比低于10 d B时,改进算法比传统球译码检测算法计算复杂度平均降低18%左右,同时误码性能损失较小。
文摘In this paper, a collocation technique with the modified equilibrium on line method (ELM) for imposition of Neumann (natural) boundary conditions is presented for solving the two-dimensional problems of linear elastic body vibrations. In the modified ELM, equilibrium over the lines on the natural boundary is satisfied as Neumann boundary condition equations. In other words, the natural boundary conditions are satisfied naturally by using the weak formulation. The performance of the modified version of the ELM is studied for collocation methods based on two different ways to construct meshless shape functions: moving least squares approximation and radial basis point interpolation. Numerical examples of two-dimensional free and forced vibration analyses show that by using the modified ELM, more stable and accurate results would be obtained in comparison with the direct collocation method.