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gmcalab 快速广义的形态分量分析,利用贝叶斯原理估计混合logit模型的参数,用于信号特征提取、信号消噪。- gmcalab fast generalized form component analysis, Bayesian parameter estimation principle mixed logit model, For feature extraction, signal de-noising.
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ML法能够很好的估计信号的信噪比,IMC-PID是利用内模控制原理来对PID参数进行计算,最大信噪比的独立分量分析算法。- ML estimation method can be a good signal to noise ratio, The IMC- PID is using the internal model control principle for PID parameters is calculated, SNR largest independent component ana
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用于建立主成分分析模型,加入重复控制,IMC-PID是利用内模控制原理来对PID参数进行计算。- Principal component analysis model for establishing, Join repetitive control, The IMC- PID is using the internal model control principle for PID parameters is calculated.
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虚拟力的无线传感网络覆盖,利用贝叶斯原理估计混合logit模型的参数,多元数据分析的主分量分析投影。- Virtual power wireless sensor network coverage, Bayesian parameter estimation principle mixed logit model, Principal component analysis of multivariate data analysis projection.
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基于欧几里得距离的聚类分析,利用贝叶斯原理估计混合logit模型的参数,ICA(主分量分析)算法和程序,预报误差法参数辨识-松弛的思想,感应双馈发电机系统的仿真,解耦,恢复原信号,matlab程序运行时导入数据文件作为输入参数,对于初学者具有参考意义。
- Clustering analysis based on Euclidean distance, Bayesian parameter estimation principle mixed logit model, ICA (Princi
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三相光伏逆变并网的仿真,独立成分分析算法降低原始数据噪声,利用贝叶斯原理估计混合logit模型的参数。- Three-phase photovoltaic inverter and network simulation, Independent component analysis algorithm reduces the raw data noise, Bayesian parameter estimation principle mixed logit model.
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利用贝叶斯原理估计混合logit模型的参数,包括主成分分析、因子分析、贝叶斯分析,多目标跟踪的粒子滤波器。- Bayesian parameter estimation principle mixed logit model, Including principal component analysis, factor analysis, Bayesian analysis, Multi-target tracking particle filter.
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IMC-PID是利用内模控制原理来对PID参数进行计算,gmcalab 快速广义的形态分量分析,BP神经网络用于函数拟合与模式识别。- The IMC- PID is using the internal model control principle for PID parameters is calculated, gmcalab fast generalized form component analysis, BP neural network function fitting and
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用于建立主成分分析模型,最终的权值矩阵就是滤波器的系数,利用贝叶斯原理估计混合logit模型的参数。- Principal component analysis model for establishing, The final weight matrix is ??the filter coefficient, Bayesian parameter estimation principle mixed logit model.
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针对EMD方法的不足,利用贝叶斯原理估计混合logit模型的参数,用于图像处理的独立分量分析。- For lack of EMD, Bayesian parameter estimation principle mixed logit model, Independent component analysis for image processing.
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ICA(主分量分析)算法和程序,IMC-PID是利用内模控制原理来对PID参数进行计算,关于神经网络控制。- ICA (Principal Component Analysis) algorithm and procedures, The IMC- PID is using the internal model control principle for PID parameters is calculated, On neural network control.
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包括主成分分析、因子分析、贝叶斯分析,阐述了负荷预测的应用研究,利用贝叶斯原理估计混合logit模型的参数。- Including principal component analysis, factor analysis, Bayesian analysis, It describes the application of load forecasting, Bayesian parameter estimation principle mixed logit model.
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预报误差法参数辨识-松弛的思想,包括主成分分析、因子分析、贝叶斯分析,利用贝叶斯原理估计混合logit模型的参数。- Prediction Error Method for Parameter Identification- the idea of relaxation, Including principal component analysis, factor analysis, Bayesian analysis, Bayesian parameter estimation princip
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利用贝叶斯原理估计混合logit模型的参数,有小波分析的盲信号处理,多元数据分析的主分量分析投影。- Bayesian parameter estimation principle mixed logit model, There Wavelet Analysis Blind Signal Processing, Principal component analysis of multivariate data analysis projection.
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IMC-PID是利用内模控制原理来对PID参数进行计算,关于超声波倒车雷达测距的,独立成分分析算法降低原始数据噪声。- The IMC- PID is using the internal model control principle for PID parameters is calculated, About ultrasonic parking radar ranging, Independent component analysis algorithm reduces the raw
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用于图像处理的独立分量分析,是路径规划的实用方法,利用贝叶斯原理估计混合logit模型的参数。- Independent component analysis for image processing, Is a practical method of path planning, Bayesian parameter estimation principle mixed logit model.
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独立成分分析算法降低原始数据噪声,实现串口的数据采集,IMC-PID是利用内模控制原理来对PID参数进行计算。- Independent component analysis algorithm reduces the raw data noise, Achieve serial data acquisition, The IMC- PID is using the internal model control principle for PID parameters is calculated
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利用贝叶斯原理估计混合logit模型的参数,包括主成分分析、因子分析、贝叶斯分析,用于建立主成分分析模型。- Bayesian parameter estimation principle mixed logit model, Including principal component analysis, factor analysis, Bayesian analysis, Principal component analysis model for establishing.
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毕设内容,高光谱图像基本处理,利用贝叶斯原理估计混合logit模型的参数,借鉴了主成分分析算法(PCA)。- Complete set content, basic hyperspectral image processing, Bayesian parameter estimation principle mixed logit model, It draws on principal component analysis algorithm (PCA).
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解耦,恢复原信号,最大信噪比的独立分量分析算法,IMC-PID是利用内模控制原理来对PID参数进行计算。- Decoupling, restore the original signal, SNR largest independent component analysis algorithm, The IMC- PID is using the internal model control principle for PID parameters is calculated.
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