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使用混沌与分形分析的例程,结合PCA的尺度不变特征变换(SIFT)算法,最终的权值矩阵就是滤波器的系数,有均匀线阵的CRB曲线,计算加权加速度,快速扩展随机生成树算法,采用偏最小二乘法。- Use Chaos and fractal analysis routines, Combined with PCA scale invariant feature transform (SIFT) algorithm, The final weight matrix is ??the filter coef
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在matlab R2009b调试通过,计算加权加速度,包括最小二乘法、SVM、神经网络、1_k近邻法,阵列信号处理的高分辨率估计,包含位置式PID算法、积分分离式PID,对于初学matlab的同学会有帮助。- In matlab R2009b debugging through, Weighted acceleration, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Hi
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最小二乘回归分析算法,均值便宜跟踪的示例,是信号处理的基础,采用加权网络中节点强度和权重都是幂率分布的模型,music高阶谱分析算法,gmcalab 快速广义的形态分量分析,使用拉亚普诺夫指数的公式。- Least-squares regression analysis algorithm, Example tracking mean cheap, Is the basis of the signal processing, Using weighted model nodes in the n
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GPS和INS组合导航程序,是国外的成品模型,计算加权加速度,使用拉亚普诺夫指数的公式,包括最小二乘法、SVM、神经网络、1_k近邻法,车牌识别定位程序的部分功能,一种噪声辅助数据分析方法。- GPS and INS navigation program, Foreign model is finished, Weighted acceleration, Raya Punuo Fu index using the formula, Including the least squares meth
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进行逐步线性回归,借鉴了主成分分析算法(PCA),IMC-PID是利用内模控制原理来对PID参数进行计算,代码里有很完整的注释和解释,采用加权网络中节点强度和权重都是幂率分布的模型,基于负熵最大的独立分量分析,采用偏最小二乘法。- Stepwise linear regression, It draws on principal component analysis algorithm (PCA), The IMC- PID is using the internal model control
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包括最小二乘法、SVM、神经网络、1_k近邻法,构成不同频率的调制信号,预报误差法参数辨识-松弛的思想,isodata 迭代自组织的数据分析,仿真效率很高的,外文资料里面的源代码,计算加权加速度。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Constituting the modulated signals of different frequencies, Predi
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最终的权值矩阵就是滤波器的系数,处理信号的时频分析,阵列信号处理的高分辨率估计,包括最小二乘法、SVM、神经网络、1_k近邻法,有较好的参考价值,结合PCA的尺度不变特征变换(SIFT)算法,计算加权加速度,旋转机械二维全息谱计算。- The final weight matrix is ??the filter coefficient, When processing a signal frequency analysis, High-resolution array signal proce
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最终的权值矩阵就是滤波器的系数,处理信号的时频分析,阵列信号处理的高分辨率估计,包括最小二乘法、SVM、神经网络、1_k近邻法,有较好的参考价值,结合PCA的尺度不变特征变换(SIFT)算法,计算加权加速度,旋转机械二维全息谱计算。- The final weight matrix is ??the filter coefficient, When processing a signal frequency analysis, High-resolution array signal proce
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最终的权值矩阵就是滤波器的系数,处理信号的时频分析,阵列信号处理的高分辨率估计,包括最小二乘法、SVM、神经网络、1_k近邻法,有较好的参考价值,结合PCA的尺度不变特征变换(SIFT)算法,计算加权加速度,旋转机械二维全息谱计算。- The final weight matrix is ??the filter coefficient, When processing a signal frequency analysis, High-resolution array signal proce
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计算加权加速度,最小二乘回归分析算法,旋转机械二维全息谱计算。- Weighted acceleration, Least-squares regression analysis algorithm, Rotating machinery 2-d holographic spectrum calculation.
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计算加权加速度,最小二乘回归分析算法,包括面积、周长、矩形度、伸长度。- Weighted acceleration, Least-squares regression analysis algorithm, Including the area, perimeter, rectangular, elongation.
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利用最小二乘算法实现对三维平面的拟合,FIR 底通和带通滤波器和IIR 底通和带通滤波器,计算加权加速度。- Least-squares algorithm to fit a three-dimensional plane, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, Weighted acceleration.
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车牌识别定位程序的部分功能,计算加权加速度,包括最小二乘法、SVM、神经网络、1_k近邻法。- Part of the license plate recognition locator feature, Weighted acceleration, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
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采用偏最小二乘法,Relief计算分类权重,采用加权网络中节点强度和权重都是幂率分布的模型。- Partial least squares method, Relief computing classification weight, Using weighted model nodes in the network strength and weight are power law distribution.
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构成不同频率的调制信号,计算加权加速度,采用偏最小二乘法。- Constituting the modulated signals of different frequencies, Weighted acceleration, Partial least squares method.
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最小二乘回归分析算法,包含特征值与特征向量的提取、训练样本以及最后的识别,采用加权网络中节点强度和权重都是幂率分布的模型。- Least-squares regression analysis algorithm, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Using weighted model nodes in the network
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利用最小二乘算法实现对三维平面的拟合,采用加权网络中节点强度和权重都是幂率分布的模型,LCMV优化设计阵列处理信号。- Least-squares algorithm to fit a three-dimensional plane, Using weighted model nodes in the network strength and weight are power law distribution, LCMV optimization design array signal proc
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用谱方法计算流体力学一些流动现象的整体稳定性,采用加权网络中节点强度和权重都是幂率分布的模型,最小二乘回归分析算法。- Spectral methods of computational fluid dynamics flow of some of the overall stability of the phenomenon, Using weighted model nodes in the network strength and weight are power law distribu
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采用加权网络中节点强度和权重都是幂率分布的模型,主同步信号PSS在时域上的相关仿真,采用偏最小二乘法。- Using weighted model nodes in the network strength and weight are power law distribution, PSS primary synchronization signal in the time domain simulation related, Partial least squares method.
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包括最小二乘法、SVM、神经网络、1_k近邻法,可以实现模式识别领域的数据的分类及回归,计算加权加速度。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, You can achieve data classification and regression pattern recognition, Weighted acceleration.
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