Description: 流形学习算法lle的线性化方法，是一种非监督的降维方法，比lle的优势在于可以将新的样本点映射到低维空间。-Lle manifold learning algorithm of the linearization method, is a non-supervised dimensionality reduction method has the advantage of being more than lle can sample the new point is mapped to the low-dimensional space. Platform: |
Size: 2048 |
Author:仲国强 |
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Description: 流形学习算法LTSA的线性化方法，在基因分类聚类中得到了应用，可以将新样本线性地投射到低维空间。-LTSA manifold learning algorithm of the linearization method, clustering in gene classification has been applied to new samples can be projected onto the linear and low-dimensional space. Platform: |
Size: 2048 |
Author:仲国强 |
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Description: 一种很重要的非监督降维方法，是流形学习算法Laplacian Eigenmap 的线性化方法，在人脸识别中效果非常好。-A very important method of unsupervised dimensionality reduction, manifold learning algorithm is Laplacian Eigenmap linearization method is very effective in face recognition. Platform: |
Size: 1024 |
Author:仲国强 |
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Description: 测试ukf（卡尔曼滤波器）的matlab源代码，避免ekf的截断误差，使线性化的结果更加准确。-Test ukf (Kalman filter) of the matlab source code, to avoid ekf the truncation error, so that the result of more accurate linearization. Platform: |
Size: 3072 |
Author:李超 |
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Description: Digital Predistortion of Nonlieaner RF Power Amplifier with Memory Effects.
This M code simulates a DPD technique linearization for a AB-class nonlinear HPA with memory effects. Here we consider a memory polynomial predistorter to modeling nonlinearity characteristics and memory effects of a HPA.Simulation procedures divided into three separate parts:
1)Analog imperfection compensation for the direct upconversion transmitter
2)Design a DPD based on a memory polynomial predistorter
3)Performance evaluation via a number of parameters such as:EVM,PSD,SNR,
-Digital Predistortion of Nonlieaner RF Power Amplifier with Memory Effects.
This M code simulates a DPD technique linearization for a AB-class nonlinear HPA with memory effects. Here we consider a memory polynomial predistorter to modeling nonlinearity characteristics and memory effects of a HPA.Simulation procedures divided into three separate parts:
1)Analog imperfection compensation for the direct upconversion transmitter
2)Design a DPD based on a memory polynomial predistorter
3)Performance evaluation via a number of parameters such as:EVM,PSD,SNR,
Platform: |
Size: 19976192 |
Author:shahram |
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Description: matlab中如何将非线性系统线性化之后如何利用kalman进行估计-matlab how to, after linearization of nonlinear systems to estimate how to use the kalman Platform: |
Size: 1024 |
Author:yiyang |
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Description: 卡尔曼滤波在对离散线性系统进行最优化的时候用到系统的预测方程和测量方程，但是只考虑了最简单的线性关系，即系统预测方程线性化，由于变量的均值和方差只能进行线性运算，那么当系统预测方程非线性化的时候该怎样计算预测值的方差呢？ UKF就是为了研究解决这种非线性关系的。-Kalman filter used in optimization of discrete linear systems prediction and measurement equations of the system, but only consider a simple linear relationship, that the prediction equation linearization, the mean and variance of the variables only linear operator, then when the nonlinear prediction equation of how to calculate the variance of the predictive value? UKF is to study and solve such a nonlinear relationship. Platform: |
Size: 10240 |
Author:shaodong |
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Description: 飞行器六自由度建模，以及飞行器配平，线性化的matlab程序-The aircraft six degrees of freedom modeling, as well as aircraft trim, linearization matlab program Platform: |
Size: 93184 |
Author:lvzheng |
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Description: 该程序算法用于求解以矩阵不等式形式表示的控制器问题，锥补线性化算法（CCLA）可以对非线性矩阵不等式作线性化处理，再利用Matlab中工具求解线性矩阵不等式（LMI），即可求得控制器增益参数。-The program algorithm is used for solving the controller problem expressed in the form of matrix inequalities. The cone complementarity linearization algorithm (CCLA) can linear process the non-linear matrix inequalities, then use the Matlab tools for solving linear matrix inequalities (LMI), you can obtain the controller gain parameters. Platform: |
Size: 5120 |
Author:xionglihong |
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Description: matlab file of nonlinear control for bicycle balancing, a master thesis of University.
Input-output linearization using in this thesis.
there is also a word file to describe that Platform: |
Size: 3090432 |
Author:nguyen van dong hai |
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