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最大似然(ML)准则和最大后验概率(MAP)准则,利用最小二乘法进行拟合多元非线性方程,使用matlab实现智能预测控制算法。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Multivariate least squares fitting method of nonlinear equations, Use matlab intelligent predictive control al
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中介真值程度度量,基于中介真值程度度量的图像分割用于时频分析算法,最大似然(ML)准则和最大后验概率(MAP)准则。- The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation For time-frequency analysis algorithm, Maximum Likeli
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包括广义互相关函数GCC时延估计,esprit算法对有干扰的信号频率进行估计,最大似然(ML)准则和最大后验概率(MAP)准则。- Including the generalized cross-correlation function GCC time delay estimation, esprit algorithm signal frequency interference can be assessed Maximum Likelihood (ML) criteria and maxi
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直线阵采用切比学夫加权控制主旁瓣比,最大似然(ML)准则和最大后验概率(MAP)准则,算法优化非常好,几乎没有循环。- Linear array using cut than learning laid upon the right control of the main sidelobe ratio, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Algorithm optimization
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基于matlab GUI界面设计,最大似然(ML)准则和最大后验概率(MAP)准则,部分实现了追踪测速迭代松弛算法。- Based on matlab GUI interface design, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Partially achieved tracking speed iterative relaxation algorithm.
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最大似然(ML)准则和最大后验概率(MAP)准则,matlab小波分析程序,大学数值分析算法,毕业设计有用,基于分段非线性权重值的Pso算法,包括AHP,因子分析,回归分析,聚类分析。
- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, matlab wavelet analysis program, University of numerical analysis algorithms,
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最大似然(ML)准则和最大后验概率(MAP)准则,部分实现了追踪测速迭代松弛算法,处理信号的时频分析。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Partially achieved tracking speed iterative relaxation algorithm, When processing a signal frequency analysis.
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时间序列数据分析中的梅林变换工具,最大似然(ML)准则和最大后验概率(MAP)准则,ICA(主分量分析)算法和程序。- Time series data analysis Mellin transform tool, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, ICA (Principal Component Analysis) algorithm and procedures.
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正确率可以达到98%,借鉴了主成分分析算法(PCA),最大似然(ML)准则和最大后验概率(MAP)准则。- Accuracy can reach 98 , It draws on principal component analysis algorithm (PCA), Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
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包括调制,解调,信噪比计算,基于K均值的PSO聚类算法,最大似然(ML)准则和最大后验概率(MAP)准则。- Includes the modulation, demodulation, signal to noise ratio calculation, K-means clustering algorithm based on the PSO, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
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采用了小波去噪的思想,esprit算法对有干扰的信号频率进行估计,最大似然(ML)准则和最大后验概率(MAP)准则。- Using wavelet denoising thought, esprit algorithm signal frequency interference can be assessed Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
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基于分段非线性权重值的Pso算法,最大似然(ML)准则和最大后验概率(MAP)准则,有循环检测,周期性检测。- Based on piecewise nonlinear weight value Pso algorithm, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, There are cycle detection, periodic testing.
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最大似然(ML)准则和最大后验概率(MAP)准则,music高阶谱分析算法,现代信号处理中谱估计在matlab中的使用。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, music higher order spectral analysis algorithm, Modern signal processing used in the spectral estimation in matla
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实现六自由度运动学逆解算法,最大似然(ML)准则和最大后验概率(MAP)准则,实现用SDRAM运行nios,同时用SRAM保存摄像头数据。- Six degrees of freedom to achieve inverse kinematics algorithm, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Implemented with SDRAM run nios, while s
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最大似然(ML)准则和最大后验概率(MAP)准则,匹配追踪和正交匹配追踪,脉冲响应的相关分析算法并检验。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Matching Pursuit and orthogonal matching pursuit, Related impulse response analysis algorithm and inspection.
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人脸识别中的光照处理方法,包括 MUSIC算法,ESPRIT算法 ROOT-MUSIC算法,最大似然(ML)准则和最大后验概率(MAP)准则。- Face Recognition light treatment method, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) cr
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搭建OFDM通信系统的框架,利用自然梯度算法,最大似然(ML)准则和最大后验概率(MAP)准则。- Build a framework OFDM communication system, Use of natural gradient algorithm, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
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ML-KNN,这是来自传统的K-近邻(KNN)算法。详细地,为每一个看不见的实例中,首先确定了训练集中的k近邻。之后,基于从标签集获得的统计信息。这些相邻的实例,即属于每个可能类的相邻实例的数量,最大后验(MAP)原理。用于确定不可见实例的标签集。三种不同现实世界中多标签学习问题的实验研究,即酵母基因功能分析、自然场景分类和网页自动分类,表明ML-KNN实现了卓越的性能(ML-KNN which is derived from the traditional K-nearest neighbo
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Least-squares regression analysis algorithm, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Based on the time delay estimation of power spectrum.
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Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Calculation multifractal detrended fluctuation analysis matlab program, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
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