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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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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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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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Space target recognition algorithm using PM, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, ECG data and includes source code written in MATLAB.
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Independent component analysis algorithm reduces the raw data noise, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Particle image segmentation and matching subroutines themselves are prepared.
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