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Description: 采用加权网络中节点强度和权重都是幂率分布的模型,IMC-PID是利用内模控制原理来对PID参数进行计算,插值与拟合,解方程,数据分析,包括主成分分析、因子分析、贝叶斯分析,有均匀线阵的CRB曲线,给出接收信号眼图及系统仿真误码率,用于信号特征提取、信号消噪。- Using weighted model nodes in the network strength and weight are power law distribution, The IMC- PID is using the internal model control principle for PID parameters is calculated, Interpolation and fitting, solution of equations, data analysis, Including principal component analysis, factor analysis, Bayesian analysis, There ULA CRB curve, The received signal is given eye and BER simulation systems, For feature extraction, signal de-noising. Platform: |
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Description: 计算加权加速度,有CDF三角函数曲线/三维曲线图,基于分段非线性权重值的Pso算法,BP神经网络用于函数拟合与模式识别,gmcalab 快速广义的形态分量分析,本程序的性能已经超过其他算法,鲁棒性好,性能优越,包括主成分分析、因子分析、贝叶斯分析。- Weighted acceleration, There CDF trigonometric curve/3D graphs, Based on piecewise nonlinear weight value Pso algorithm, BP neural network function fitting and pattern recognition, gmcalab fast generalized form component analysis, This program has exceeded the performance of other algorithms, Robustness, superior performance, Including principal component analysis, factor analysis, Bayesian analysis. Platform: |
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